diff --git a/docs/examples/Supported_Models.ipynb b/docs/examples/Supported_Models.ipynb
index d20ad9f12..935d2808b 100644
--- a/docs/examples/Supported_Models.ipynb
+++ b/docs/examples/Supported_Models.ipynb
@@ -2,36 +2,41 @@
  "cells": [
   {
    "cell_type": "code",
+   "execution_count": 1,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:03.324551Z",
      "start_time": "2024-11-13T09:01:03.234711Z"
+    },
+    "execution": {
+     "iopub.execute_input": "2026-07-22T21:47:58.683042Z",
+     "iopub.status.busy": "2026-07-22T21:47:58.682929Z",
+     "iopub.status.idle": "2026-07-22T21:47:58.756340Z",
+     "shell.execute_reply": "2026-07-22T21:47:58.755741Z"
     }
    },
+   "outputs": [],
    "source": [
     "%load_ext autoreload\n",
     "%autoreload 2"
-   ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
-   "execution_count": 10
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:04.505772Z",
      "start_time": "2024-11-13T09:01:04.493296Z"
+    },
+    "execution": {
+     "iopub.execute_input": "2026-07-22T21:47:58.757895Z",
+     "iopub.status.busy": "2026-07-22T21:47:58.757774Z",
+     "iopub.status.idle": "2026-07-22T21:48:10.438389Z",
+     "shell.execute_reply": "2026-07-22T21:48:10.437700Z"
     }
    },
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "\n",
@@ -41,10 +46,10 @@
     "    LateInteractionTextEmbedding,\n",
     "    ImageEmbedding,\n",
     ")\n",
-    "from fastembed.rerank.cross_encoder import TextCrossEncoder"
-   ],
-   "outputs": [],
-   "execution_count": 11
+    "from fastembed.rerank.cross_encoder import TextCrossEncoder\n",
+    "\n",
+    "pd.set_option(\"display.max_colwidth\", None)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -55,79 +60,22 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:05.812271Z",
      "start_time": "2024-11-13T09:01:05.795846Z"
+    },
+    "execution": {
+     "iopub.execute_input": "2026-07-22T21:48:10.440580Z",
+     "iopub.status.busy": "2026-07-22T21:48:10.440336Z",
+     "iopub.status.idle": "2026-07-22T21:48:10.482086Z",
+     "shell.execute_reply": "2026-07-22T21:48:10.481626Z"
     }
    },
-   "source": [
-    "supported_models = (\n",
-    "    pd.DataFrame(TextEmbedding.list_supported_models())\n",
-    "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\", \"additional_files\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")\n",
-    "supported_models"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "                                                model   dim  \\\n",
-       "0                              BAAI/bge-small-en-v1.5   384   \n",
-       "1                              BAAI/bge-small-zh-v1.5   512   \n",
-       "2                 snowflake/snowflake-arctic-embed-xs   384   \n",
-       "3              sentence-transformers/all-MiniLM-L6-v2   384   \n",
-       "4                  jinaai/jina-embeddings-v2-small-en   512   \n",
-       "5                                   BAAI/bge-small-en   384   \n",
-       "6                  snowflake/snowflake-arctic-embed-s   384   \n",
-       "7                    nomic-ai/nomic-embed-text-v1.5-Q   768   \n",
-       "8                               BAAI/bge-base-en-v1.5   768   \n",
-       "9   sentence-transformers/paraphrase-multilingual-...   384   \n",
-       "10                          Qdrant/clip-ViT-B-32-text   512   \n",
-       "11                  jinaai/jina-embeddings-v2-base-de   768   \n",
-       "12                                   BAAI/bge-base-en   768   \n",
-       "13                 snowflake/snowflake-arctic-embed-m   768   \n",
-       "14                     nomic-ai/nomic-embed-text-v1.5   768   \n",
-       "15                  jinaai/jina-embeddings-v2-base-en   768   \n",
-       "16                       nomic-ai/nomic-embed-text-v1   768   \n",
-       "17            snowflake/snowflake-arctic-embed-m-long   768   \n",
-       "18                 mixedbread-ai/mxbai-embed-large-v1  1024   \n",
-       "19                jinaai/jina-embeddings-v2-base-code   768   \n",
-       "20  sentence-transformers/paraphrase-multilingual-...   768   \n",
-       "21                 snowflake/snowflake-arctic-embed-l  1024   \n",
-       "22                                 thenlper/gte-large  1024   \n",
-       "23                             BAAI/bge-large-en-v1.5  1024   \n",
-       "24                     intfloat/multilingual-e5-large  1024   \n",
-       "\n",
-       "                                          description     license  size_in_GB  \n",
-       "0   Text embeddings, Unimodal (text), English, 512...         mit       0.067  \n",
-       "1   Text embeddings, Unimodal (text), Chinese, 512...         mit       0.090  \n",
-       "2   Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.090  \n",
-       "3   Text embeddings, Unimodal (text), English, 256...  apache-2.0       0.090  \n",
-       "4   Text embeddings, Unimodal (text), English, 819...  apache-2.0       0.120  \n",
-       "5   Text embeddings, Unimodal (text), English, 512...         mit       0.130  \n",
-       "6   Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.130  \n",
-       "7   Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.130  \n",
-       "8   Text embeddings, Unimodal (text), English, 512...         mit       0.210  \n",
-       "9   Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.220  \n",
-       "10  Text embeddings, Multimodal (text&image), Engl...         mit       0.250  \n",
-       "11  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.320  \n",
-       "12  Text embeddings, Unimodal (text), English, 512...         mit       0.420  \n",
-       "13  Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.430  \n",
-       "14  Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.520  \n",
-       "15  Text embeddings, Unimodal (text), English, 819...  apache-2.0       0.520  \n",
-       "16  Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.520  \n",
-       "17  Text embeddings, Unimodal (text), English, 204...  apache-2.0       0.540  \n",
-       "18  Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.640  \n",
-       "19  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.640  \n",
-       "20  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       1.000  \n",
-       "21  Text embeddings, Unimodal (text), English, 512...  apache-2.0       1.020  \n",
-       "22  Text embeddings, Unimodal (text), English, 512...         mit       1.200  \n",
-       "23  Text embeddings, Unimodal (text), English, 512...         mit       1.200  \n",
-       "24  Text embeddings, Unimodal (text), Multilingual...         mit       2.240  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -148,224 +96,445 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>model</th>\n",
-       "      <th>dim</th>\n",
        "      <th>description</th>\n",
        "      <th>license</th>\n",
        "      <th>size_in_GB</th>\n",
+       "      <th>dim</th>\n",
+       "      <th>tasks</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>BAAI/bge-small-en-v1.5</td>\n",
-       "      <td>384</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: not so necessary, 2023 year.</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.067</td>\n",
+       "      <td>384</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>BAAI/bge-small-zh-v1.5</td>\n",
-       "      <td>512</td>\n",
-       "      <td>Text embeddings, Unimodal (text), Chinese, 512...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), Chinese, 512 input tokens truncation, Prefixes for queries/documents: not so necessary, 2023 year.</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.090</td>\n",
+       "      <td>512</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>snowflake/snowflake-arctic-embed-xs</td>\n",
-       "      <td>384</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.090</td>\n",
+       "      <td>384</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>sentence-transformers/all-MiniLM-L6-v2</td>\n",
-       "      <td>384</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 256...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 256 input tokens truncation, Prefixes for queries/documents: not necessary, 2021 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.090</td>\n",
+       "      <td>384</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>jinaai/jina-embeddings-v2-small-en</td>\n",
-       "      <td>512</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 819...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2023 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.120</td>\n",
+       "      <td>512</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>BAAI/bge-small-en</td>\n",
-       "      <td>384</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2023 year.</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.130</td>\n",
+       "      <td>384</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>snowflake/snowflake-arctic-embed-s</td>\n",
-       "      <td>384</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.130</td>\n",
+       "      <td>384</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>nomic-ai/nomic-embed-text-v1.5-Q</td>\n",
-       "      <td>768</td>\n",
-       "      <td>Text embeddings, Multimodal (text, image), Eng...</td>\n",
+       "      <td>Text embeddings, Multimodal (text, image), English, 8192 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.130</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>BAAI/bge-base-en-v1.5</td>\n",
-       "      <td>768</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: not so necessary, 2023 year.</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.210</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
-       "      <td>sentence-transformers/paraphrase-multilingual-...</td>\n",
-       "      <td>384</td>\n",
-       "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
+       "      <td>sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2</td>\n",
+       "      <td>Text embeddings, Unimodal (text), Multilingual (~50 languages), 512 input tokens truncation, Prefixes for queries/documents: not necessary, 2019 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.220</td>\n",
+       "      <td>384</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>Qdrant/clip-ViT-B-32-text</td>\n",
-       "      <td>512</td>\n",
-       "      <td>Text embeddings, Multimodal (text&amp;image), Engl...</td>\n",
+       "      <td>Text embeddings, Multimodal (text&amp;image), English, 77 input tokens truncation, Prefixes for queries/documents: not necessary, 2021 year</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.250</td>\n",
+       "      <td>512</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
-       "      <td>jinaai/jina-embeddings-v2-base-de</td>\n",
+       "      <td>BAAI/bge-base-en</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2023 year.</td>\n",
+       "      <td>mit</td>\n",
+       "      <td>0.420</td>\n",
        "      <td>768</td>\n",
-       "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
-       "      <td>apache-2.0</td>\n",
-       "      <td>0.320</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
-       "      <td>BAAI/bge-base-en</td>\n",
+       "      <td>snowflake/snowflake-arctic-embed-m</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.430</td>\n",
        "      <td>768</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
-       "      <td>mit</td>\n",
-       "      <td>0.420</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
-       "      <td>snowflake/snowflake-arctic-embed-m</td>\n",
+       "      <td>thenlper/gte-base</td>\n",
+       "      <td>General text embeddings, Unimodal (text), supports English only input text, 512 input tokens truncation, Prefixes for queries/documents: not necessary, 2024 year.</td>\n",
+       "      <td>mit</td>\n",
+       "      <td>0.440</td>\n",
        "      <td>768</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
-       "      <td>apache-2.0</td>\n",
-       "      <td>0.430</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
-       "      <td>nomic-ai/nomic-embed-text-v1.5</td>\n",
-       "      <td>768</td>\n",
-       "      <td>Text embeddings, Multimodal (text, image), Eng...</td>\n",
+       "      <td>nomic-ai/nomic-embed-text-v1</td>\n",
+       "      <td>Text embeddings, Multimodal (text, image), English, 8192 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.520</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
-       "      <td>jinaai/jina-embeddings-v2-base-en</td>\n",
-       "      <td>768</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 819...</td>\n",
+       "      <td>nomic-ai/nomic-embed-text-v1.5</td>\n",
+       "      <td>Text embeddings, Multimodal (text, image), English, 8192 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.520</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
-       "      <td>nomic-ai/nomic-embed-text-v1</td>\n",
-       "      <td>768</td>\n",
-       "      <td>Text embeddings, Multimodal (text, image), Eng...</td>\n",
+       "      <td>jinaai/jina-embeddings-v2-base-en</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2023 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.520</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td>snowflake/snowflake-arctic-embed-m-long</td>\n",
-       "      <td>768</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 204...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 2048 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.540</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
-       "      <td>mixedbread-ai/mxbai-embed-large-v1</td>\n",
-       "      <td>1024</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
+       "      <td>jinaai/jina-clip-v1</td>\n",
+       "      <td>Text embeddings, Multimodal (text&amp;image), English, Prefixes for queries/documents: not necessary, 2024 year</td>\n",
        "      <td>apache-2.0</td>\n",
-       "      <td>0.640</td>\n",
+       "      <td>0.550</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19</th>\n",
+       "      <td>jinaai/jina-embeddings-v2-base-de</td>\n",
+       "      <td>Text embeddings, Unimodal (text), Multilingual (German, English), 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2024 year.</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.640</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
        "      <td>jinaai/jina-embeddings-v2-base-code</td>\n",
+       "      <td>Text embeddings, Unimodal (text), Multilingual (English, 30 programming languages), 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2024 year.</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.640</td>\n",
        "      <td>768</td>\n",
-       "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
+       "      <td>{}</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>jinaai/jina-embeddings-v2-base-zh</td>\n",
+       "      <td>Text embeddings, Unimodal (text), supports mixed Chinese-English input text, 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2024 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.640</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>sentence-transformers/paraphrase-multilingual-...</td>\n",
+       "      <th>22</th>\n",
+       "      <td>jinaai/jina-embeddings-v2-base-es</td>\n",
+       "      <td>Text embeddings, Unimodal (text), supports mixed Spanish-English input text, 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2024 year.</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.640</td>\n",
        "      <td>768</td>\n",
-       "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
+       "      <td>{}</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>mixedbread-ai/mxbai-embed-large-v1</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.640</td>\n",
+       "      <td>1024</td>\n",
+       "      <td>{}</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>sentence-transformers/paraphrase-multilingual-mpnet-base-v2</td>\n",
+       "      <td>Text embeddings, Unimodal (text), Multilingual (~50 languages), 384 input tokens truncation, Prefixes for queries/documents: not necessary, 2021 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>1.000</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>21</th>\n",
+       "      <th>25</th>\n",
        "      <td>snowflake/snowflake-arctic-embed-l</td>\n",
-       "      <td>1024</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>1.020</td>\n",
+       "      <td>1024</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
+       "      <th>26</th>\n",
        "      <td>thenlper/gte-large</td>\n",
-       "      <td>1024</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: not necessary, 2023 year.</td>\n",
        "      <td>mit</td>\n",
        "      <td>1.200</td>\n",
+       "      <td>1024</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23</th>\n",
+       "      <th>27</th>\n",
        "      <td>BAAI/bge-large-en-v1.5</td>\n",
-       "      <td>1024</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: not so necessary, 2023 year.</td>\n",
        "      <td>mit</td>\n",
        "      <td>1.200</td>\n",
+       "      <td>1024</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>24</th>\n",
+       "      <th>28</th>\n",
+       "      <td>google/embeddinggemma-300m</td>\n",
+       "      <td>Text embeddings, Unimodal (text), multilingual, 2048 input tokens truncation, Prefixes for queries/documents: `task: search result | query: {content}` for query, `title: {title | 'none'} | text: {content}` for documents, 2025 year.</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>1.240</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
        "      <td>intfloat/multilingual-e5-large</td>\n",
-       "      <td>1024</td>\n",
-       "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), Multilingual (~100 languages), 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.</td>\n",
        "      <td>mit</td>\n",
        "      <td>2.240</td>\n",
+       "      <td>1024</td>\n",
+       "      <td>{}</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>jinaai/jina-embeddings-v3</td>\n",
+       "      <td>Multi-task unimodal (text) embedding model, multi-lingual (~100), 1024 tokens truncation, and 8192 sequence length. Prefixes for queries/documents: not necessary, 2024 year.</td>\n",
+       "      <td>cc-by-nc-4.0</td>\n",
+       "      <td>2.290</td>\n",
+       "      <td>1024</td>\n",
+       "      <td>{'retrieval.query': 0, 'retrieval.passage': 1, 'separation': 2, 'classification': 3, 'text-matching': 4}</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                                                          model  \\\n",
+       "0                                        BAAI/bge-small-en-v1.5   \n",
+       "1                                        BAAI/bge-small-zh-v1.5   \n",
+       "2                           snowflake/snowflake-arctic-embed-xs   \n",
+       "3                        sentence-transformers/all-MiniLM-L6-v2   \n",
+       "4                            jinaai/jina-embeddings-v2-small-en   \n",
+       "5                                             BAAI/bge-small-en   \n",
+       "6                            snowflake/snowflake-arctic-embed-s   \n",
+       "7                              nomic-ai/nomic-embed-text-v1.5-Q   \n",
+       "8                                         BAAI/bge-base-en-v1.5   \n",
+       "9   sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2   \n",
+       "10                                    Qdrant/clip-ViT-B-32-text   \n",
+       "11                                             BAAI/bge-base-en   \n",
+       "12                           snowflake/snowflake-arctic-embed-m   \n",
+       "13                                            thenlper/gte-base   \n",
+       "14                                 nomic-ai/nomic-embed-text-v1   \n",
+       "15                               nomic-ai/nomic-embed-text-v1.5   \n",
+       "16                            jinaai/jina-embeddings-v2-base-en   \n",
+       "17                      snowflake/snowflake-arctic-embed-m-long   \n",
+       "18                                          jinaai/jina-clip-v1   \n",
+       "19                            jinaai/jina-embeddings-v2-base-de   \n",
+       "20                          jinaai/jina-embeddings-v2-base-code   \n",
+       "21                            jinaai/jina-embeddings-v2-base-zh   \n",
+       "22                            jinaai/jina-embeddings-v2-base-es   \n",
+       "23                           mixedbread-ai/mxbai-embed-large-v1   \n",
+       "24  sentence-transformers/paraphrase-multilingual-mpnet-base-v2   \n",
+       "25                           snowflake/snowflake-arctic-embed-l   \n",
+       "26                                           thenlper/gte-large   \n",
+       "27                                       BAAI/bge-large-en-v1.5   \n",
+       "28                                   google/embeddinggemma-300m   \n",
+       "29                               intfloat/multilingual-e5-large   \n",
+       "30                                    jinaai/jina-embeddings-v3   \n",
+       "\n",
+       "                                                                                                                                                                                                                                description  \\\n",
+       "0                                                                                                      Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: not so necessary, 2023 year.   \n",
+       "1                                                                                                      Text embeddings, Unimodal (text), Chinese, 512 input tokens truncation, Prefixes for queries/documents: not so necessary, 2023 year.   \n",
+       "2                                                                                                             Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.   \n",
+       "3                                                                                                         Text embeddings, Unimodal (text), English, 256 input tokens truncation, Prefixes for queries/documents: not necessary, 2021 year.   \n",
+       "4                                                                                                        Text embeddings, Unimodal (text), English, 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2023 year.   \n",
+       "5                                                                                                             Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2023 year.   \n",
+       "6                                                                                                             Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.   \n",
+       "7                                                                                                   Text embeddings, Multimodal (text, image), English, 8192 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.   \n",
+       "8                                                                                                      Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: not so necessary, 2023 year.   \n",
+       "9                                                                                    Text embeddings, Unimodal (text), Multilingual (~50 languages), 512 input tokens truncation, Prefixes for queries/documents: not necessary, 2019 year.   \n",
+       "10                                                                                                  Text embeddings, Multimodal (text&image), English, 77 input tokens truncation, Prefixes for queries/documents: not necessary, 2021 year   \n",
+       "11                                                                                                            Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2023 year.   \n",
+       "12                                                                                                            Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.   \n",
+       "13                                                                       General text embeddings, Unimodal (text), supports English only input text, 512 input tokens truncation, Prefixes for queries/documents: not necessary, 2024 year.   \n",
+       "14                                                                                                  Text embeddings, Multimodal (text, image), English, 8192 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.   \n",
+       "15                                                                                                  Text embeddings, Multimodal (text, image), English, 8192 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.   \n",
+       "16                                                                                                       Text embeddings, Unimodal (text), English, 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2023 year.   \n",
+       "17                                                                                                           Text embeddings, Unimodal (text), English, 2048 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.   \n",
+       "18                                                                                                                              Text embeddings, Multimodal (text&image), English, Prefixes for queries/documents: not necessary, 2024 year   \n",
+       "19                                                                                Text embeddings, Unimodal (text), Multilingual (German, English), 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2024 year.   \n",
+       "20                                                              Text embeddings, Unimodal (text), Multilingual (English, 30 programming languages), 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2024 year.   \n",
+       "21                                                                     Text embeddings, Unimodal (text), supports mixed Chinese-English input text, 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2024 year.   \n",
+       "22                                                                     Text embeddings, Unimodal (text), supports mixed Spanish-English input text, 8192 input tokens truncation, Prefixes for queries/documents: not necessary, 2024 year.   \n",
+       "23                                                                                                            Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.   \n",
+       "24                                                                                   Text embeddings, Unimodal (text), Multilingual (~50 languages), 384 input tokens truncation, Prefixes for queries/documents: not necessary, 2021 year.   \n",
+       "25                                                                                                            Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.   \n",
+       "26                                                                                                        Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: not necessary, 2023 year.   \n",
+       "27                                                                                                     Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: not so necessary, 2023 year.   \n",
+       "28  Text embeddings, Unimodal (text), multilingual, 2048 input tokens truncation, Prefixes for queries/documents: `task: search result | query: {content}` for query, `title: {title | 'none'} | text: {content}` for documents, 2025 year.   \n",
+       "29                                                                                      Text embeddings, Unimodal (text), Multilingual (~100 languages), 512 input tokens truncation, Prefixes for queries/documents: necessary, 2024 year.   \n",
+       "30                                                            Multi-task unimodal (text) embedding model, multi-lingual (~100), 1024 tokens truncation, and 8192 sequence length. Prefixes for queries/documents: not necessary, 2024 year.   \n",
+       "\n",
+       "         license  size_in_GB   dim  \\\n",
+       "0            mit       0.067   384   \n",
+       "1            mit       0.090   512   \n",
+       "2     apache-2.0       0.090   384   \n",
+       "3     apache-2.0       0.090   384   \n",
+       "4     apache-2.0       0.120   512   \n",
+       "5            mit       0.130   384   \n",
+       "6     apache-2.0       0.130   384   \n",
+       "7     apache-2.0       0.130   768   \n",
+       "8            mit       0.210   768   \n",
+       "9     apache-2.0       0.220   384   \n",
+       "10           mit       0.250   512   \n",
+       "11           mit       0.420   768   \n",
+       "12    apache-2.0       0.430   768   \n",
+       "13           mit       0.440   768   \n",
+       "14    apache-2.0       0.520   768   \n",
+       "15    apache-2.0       0.520   768   \n",
+       "16    apache-2.0       0.520   768   \n",
+       "17    apache-2.0       0.540   768   \n",
+       "18    apache-2.0       0.550   768   \n",
+       "19    apache-2.0       0.640   768   \n",
+       "20    apache-2.0       0.640   768   \n",
+       "21    apache-2.0       0.640   768   \n",
+       "22    apache-2.0       0.640   768   \n",
+       "23    apache-2.0       0.640  1024   \n",
+       "24    apache-2.0       1.000   768   \n",
+       "25    apache-2.0       1.020  1024   \n",
+       "26           mit       1.200  1024   \n",
+       "27           mit       1.200  1024   \n",
+       "28    apache-2.0       1.240   768   \n",
+       "29           mit       2.240  1024   \n",
+       "30  cc-by-nc-4.0       2.290  1024   \n",
+       "\n",
+       "                                                                                                       tasks  \n",
+       "0                                                                                                         {}  \n",
+       "1                                                                                                         {}  \n",
+       "2                                                                                                         {}  \n",
+       "3                                                                                                         {}  \n",
+       "4                                                                                                         {}  \n",
+       "5                                                                                                         {}  \n",
+       "6                                                                                                         {}  \n",
+       "7                                                                                                         {}  \n",
+       "8                                                                                                         {}  \n",
+       "9                                                                                                         {}  \n",
+       "10                                                                                                        {}  \n",
+       "11                                                                                                        {}  \n",
+       "12                                                                                                        {}  \n",
+       "13                                                                                                        {}  \n",
+       "14                                                                                                        {}  \n",
+       "15                                                                                                        {}  \n",
+       "16                                                                                                        {}  \n",
+       "17                                                                                                        {}  \n",
+       "18                                                                                                        {}  \n",
+       "19                                                                                                        {}  \n",
+       "20                                                                                                        {}  \n",
+       "21                                                                                                        {}  \n",
+       "22                                                                                                        {}  \n",
+       "23                                                                                                        {}  \n",
+       "24                                                                                                        {}  \n",
+       "25                                                                                                        {}  \n",
+       "26                                                                                                        {}  \n",
+       "27                                                                                                        {}  \n",
+       "28                                                                                                        {}  \n",
+       "29                                                                                                        {}  \n",
+       "30  {'retrieval.query': 0, 'retrieval.passage': 1, 'separation': 2, 'classification': 3, 'text-matching': 4}  "
       ]
      },
-     "execution_count": 12,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 12
+   "source": [
+    "supported_models = (\n",
+    "    pd.DataFrame(TextEmbedding.list_supported_models())\n",
+    "    .sort_values(\"size_in_GB\")\n",
+    "    .drop(columns=[\"sources\", \"model_file\", \"additional_files\"])\n",
+    "    .reset_index(drop=True)\n",
+    ")\n",
+    "supported_models"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -376,42 +545,22 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:07.038954Z",
      "start_time": "2024-11-13T09:01:07.019656Z"
+    },
+    "execution": {
+     "iopub.execute_input": "2026-07-22T21:48:10.502186Z",
+     "iopub.status.busy": "2026-07-22T21:48:10.502044Z",
+     "iopub.status.idle": "2026-07-22T21:48:10.515240Z",
+     "shell.execute_reply": "2026-07-22T21:48:10.514891Z"
     }
    },
-   "source": [
-    "(\n",
-    "    pd.DataFrame(SparseTextEmbedding.list_supported_models())\n",
-    "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\", \"additional_files\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "                                     model  vocab_size  \\\n",
-       "0                              Qdrant/bm25         NaN   \n",
-       "1  Qdrant/bm42-all-minilm-l6-v2-attentions     30522.0   \n",
-       "2               prithivida/Splade_PP_en_v1     30522.0   \n",
-       "3                prithvida/Splade_PP_en_v1     30522.0   \n",
-       "\n",
-       "                                         description     license  size_in_GB  \\\n",
-       "0  BM25 as sparse embeddings meant to be used wit...  apache-2.0       0.010   \n",
-       "1  Light sparse embedding model, which assigns an...  apache-2.0       0.090   \n",
-       "2  Independent Implementation of SPLADE++ Model f...  apache-2.0       0.532   \n",
-       "3  Independent Implementation of SPLADE++ Model f...  apache-2.0       0.532   \n",
-       "\n",
-       "  requires_idf  \n",
-       "0         True  \n",
-       "1         True  \n",
-       "2          NaN  \n",
-       "3          NaN  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -432,61 +581,111 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>model</th>\n",
-       "      <th>vocab_size</th>\n",
        "      <th>description</th>\n",
        "      <th>license</th>\n",
        "      <th>size_in_GB</th>\n",
        "      <th>requires_idf</th>\n",
+       "      <th>vocab_size</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Qdrant/bm25</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>BM25 as sparse embeddings meant to be used wit...</td>\n",
+       "      <td>BM25 as sparse embeddings meant to be used with Qdrant</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.010</td>\n",
        "      <td>True</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Qdrant/bm42-all-minilm-l6-v2-attentions</td>\n",
-       "      <td>30522.0</td>\n",
-       "      <td>Light sparse embedding model, which assigns an...</td>\n",
+       "      <td>Light sparse embedding model, which assigns an importance score to each token in the text</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.090</td>\n",
        "      <td>True</td>\n",
+       "      <td>30522</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
+       "      <td>Qdrant/minicoil-v1</td>\n",
+       "      <td>Sparse embedding model, that resolves semantic meaning of the words, while keeping exact keyword match behavior. Based on jinaai/jina-embeddings-v2-small-en-tokens</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.090</td>\n",
+       "      <td>True</td>\n",
+       "      <td>19125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
        "      <td>prithivida/Splade_PP_en_v1</td>\n",
-       "      <td>30522.0</td>\n",
-       "      <td>Independent Implementation of SPLADE++ Model f...</td>\n",
+       "      <td>Independent Implementation of SPLADE++ Model for English.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.532</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30522</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>4</th>\n",
        "      <td>prithvida/Splade_PP_en_v1</td>\n",
-       "      <td>30522.0</td>\n",
-       "      <td>Independent Implementation of SPLADE++ Model f...</td>\n",
+       "      <td>Independent Implementation of SPLADE++ Model for English.</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.532</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30522</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>opensearch-project/opensearch-neural-sparse-encoding-doc-v3-gte</td>\n",
+       "      <td>Inference-free SPLADE model. Documents are expanded with an ONNX encoder at index time, queries are encoded with a tokenizer and an IDF lookup table only, without any model inference.</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.550</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30522</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                                                             model  \\\n",
+       "0                                                      Qdrant/bm25   \n",
+       "1                          Qdrant/bm42-all-minilm-l6-v2-attentions   \n",
+       "2                                               Qdrant/minicoil-v1   \n",
+       "3                                       prithivida/Splade_PP_en_v1   \n",
+       "4                                        prithvida/Splade_PP_en_v1   \n",
+       "5  opensearch-project/opensearch-neural-sparse-encoding-doc-v3-gte   \n",
+       "\n",
+       "                                                                                                                                                                               description  \\\n",
+       "0                                                                                                                                   BM25 as sparse embeddings meant to be used with Qdrant   \n",
+       "1                                                                                                Light sparse embedding model, which assigns an importance score to each token in the text   \n",
+       "2                      Sparse embedding model, that resolves semantic meaning of the words, while keeping exact keyword match behavior. Based on jinaai/jina-embeddings-v2-small-en-tokens   \n",
+       "3                                                                                                                                Independent Implementation of SPLADE++ Model for English.   \n",
+       "4                                                                                                                                Independent Implementation of SPLADE++ Model for English.   \n",
+       "5  Inference-free SPLADE model. Documents are expanded with an ONNX encoder at index time, queries are encoded with a tokenizer and an IDF lookup table only, without any model inference.   \n",
+       "\n",
+       "      license  size_in_GB requires_idf  vocab_size  \n",
+       "0  apache-2.0       0.010         True           0  \n",
+       "1  apache-2.0       0.090         True       30522  \n",
+       "2  apache-2.0       0.090         True       19125  \n",
+       "3  apache-2.0       0.532         None       30522  \n",
+       "4  apache-2.0       0.532         None       30522  \n",
+       "5  apache-2.0       0.550         None       30522  "
       ]
      },
-     "execution_count": 13,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 13
+   "source": [
+    "(\n",
+    "    pd.DataFrame(SparseTextEmbedding.list_supported_models())\n",
+    "    .sort_values(\"size_in_GB\")\n",
+    "    .drop(columns=[\"sources\", \"model_file\", \"additional_files\"])\n",
+    "    .reset_index(drop=True)\n",
+    ")"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -499,40 +698,23 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 5,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:08.074442Z",
      "start_time": "2024-11-13T09:01:08.056138Z"
+    },
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2026-07-22T21:48:10.516888Z",
+     "iopub.status.busy": "2026-07-22T21:48:10.516683Z",
+     "iopub.status.idle": "2026-07-22T21:48:10.527717Z",
+     "shell.execute_reply": "2026-07-22T21:48:10.527368Z"
     }
    },
-   "source": [
-    "(\n",
-    "    pd.DataFrame(LateInteractionTextEmbedding.list_supported_models())\n",
-    "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "                                   model  dim  \\\n",
-       "0  answerdotai/answerai-colbert-small-v1   96   \n",
-       "1                 colbert-ir/colbertv2.0  128   \n",
-       "2                 jinaai/jina-colbert-v2  128   \n",
-       "\n",
-       "                                         description       license  \\\n",
-       "0  Text embeddings, Unimodal (text), Multilingual...    apache-2.0   \n",
-       "1                             Late interaction model           mit   \n",
-       "2  New model that expands capabilities of colbert...  cc-by-nc-4.0   \n",
-       "\n",
-       "   size_in_GB        additional_files  \n",
-       "0        0.13                     NaN  \n",
-       "1        0.44                     NaN  \n",
-       "2        2.24  [onnx/model.onnx_data]  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -553,52 +735,79 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>model</th>\n",
-       "      <th>dim</th>\n",
        "      <th>description</th>\n",
        "      <th>license</th>\n",
        "      <th>size_in_GB</th>\n",
        "      <th>additional_files</th>\n",
+       "      <th>dim</th>\n",
+       "      <th>tasks</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>answerdotai/answerai-colbert-small-v1</td>\n",
-       "      <td>96</td>\n",
-       "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, 2024 year</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.13</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>96</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>colbert-ir/colbertv2.0</td>\n",
-       "      <td>128</td>\n",
-       "      <td>Late interaction model</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512 input tokens truncation, 2023 year</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.44</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>128</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>jinaai/jina-colbert-v2</td>\n",
-       "      <td>128</td>\n",
-       "      <td>New model that expands capabilities of colbert...</td>\n",
+       "      <td>New model that expands capabilities of colbert-v1 with multilingual and context length of 8192, 2024 year</td>\n",
        "      <td>cc-by-nc-4.0</td>\n",
        "      <td>2.24</td>\n",
        "      <td>[onnx/model.onnx_data]</td>\n",
+       "      <td>128</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                                   model  \\\n",
+       "0  answerdotai/answerai-colbert-small-v1   \n",
+       "1                 colbert-ir/colbertv2.0   \n",
+       "2                 jinaai/jina-colbert-v2   \n",
+       "\n",
+       "                                                                                                 description  \\\n",
+       "0                          Text embeddings, Unimodal (text), English, 512 input tokens truncation, 2024 year   \n",
+       "1                          Text embeddings, Unimodal (text), English, 512 input tokens truncation, 2023 year   \n",
+       "2  New model that expands capabilities of colbert-v1 with multilingual and context length of 8192, 2024 year   \n",
+       "\n",
+       "        license  size_in_GB        additional_files  dim tasks  \n",
+       "0    apache-2.0        0.13                      []   96    {}  \n",
+       "1           mit        0.44                      []  128    {}  \n",
+       "2  cc-by-nc-4.0        2.24  [onnx/model.onnx_data]  128    {}  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 14
+   "source": [
+    "(\n",
+    "    pd.DataFrame(LateInteractionTextEmbedding.list_supported_models())\n",
+    "    .sort_values(\"size_in_GB\")\n",
+    "    .drop(columns=[\"sources\", \"model_file\"])\n",
+    "    .reset_index(drop=True)\n",
+    ")"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -611,37 +820,23 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 6,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:09.171647Z",
      "start_time": "2024-11-13T09:01:09.150940Z"
+    },
+    "collapsed": false,
+    "execution": {
+     "iopub.execute_input": "2026-07-22T21:48:10.529261Z",
+     "iopub.status.busy": "2026-07-22T21:48:10.529143Z",
+     "iopub.status.idle": "2026-07-22T21:48:10.540823Z",
+     "shell.execute_reply": "2026-07-22T21:48:10.540310Z"
     }
    },
-   "source": [
-    "(\n",
-    "    pd.DataFrame(ImageEmbedding.list_supported_models())\n",
-    "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "                         model   dim  \\\n",
-       "0         Qdrant/resnet50-onnx  2048   \n",
-       "1  Qdrant/clip-ViT-B-32-vision   512   \n",
-       "2       Qdrant/Unicom-ViT-B-32   512   \n",
-       "3       Qdrant/Unicom-ViT-B-16   768   \n",
-       "\n",
-       "                                         description     license  size_in_GB  \n",
-       "0      Image embeddings, Unimodal (image), 2016 year  apache-2.0        0.10  \n",
-       "1  Image embeddings, Multimodal (text&image), 202...         mit        0.34  \n",
-       "2  Image embeddings, Multimodal (text&image), 202...  apache-2.0        0.48  \n",
-       "3  Image embeddings (more detailed than Unicom-Vi...  apache-2.0        0.82  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -662,56 +857,131 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>model</th>\n",
-       "      <th>dim</th>\n",
        "      <th>description</th>\n",
        "      <th>license</th>\n",
        "      <th>size_in_GB</th>\n",
+       "      <th>additional_files</th>\n",
+       "      <th>dim</th>\n",
+       "      <th>tasks</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Qdrant/resnet50-onnx</td>\n",
-       "      <td>2048</td>\n",
        "      <td>Image embeddings, Unimodal (image), 2016 year</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.10</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2048</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
+       "      <td>nomic-ai/nomic-embed-vision-v1.5-Q</td>\n",
+       "      <td>Image embeddings, Multimodal (text&amp;image), 2024 year</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
        "      <td>Qdrant/clip-ViT-B-32-vision</td>\n",
-       "      <td>512</td>\n",
-       "      <td>Image embeddings, Multimodal (text&amp;image), 202...</td>\n",
+       "      <td>Image embeddings, Multimodal (text&amp;image), 2021 year</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.34</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>512</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <td>jinaai/jina-clip-v1</td>\n",
+       "      <td>Image embeddings, Multimodal (text&amp;image), 2024 year</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>nomic-ai/nomic-embed-vision-v1.5</td>\n",
+       "      <td>Image embeddings, Multimodal (text&amp;image), 2024 year</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.37</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
        "      <td>Qdrant/Unicom-ViT-B-32</td>\n",
-       "      <td>512</td>\n",
-       "      <td>Image embeddings, Multimodal (text&amp;image), 202...</td>\n",
+       "      <td>Image embeddings, Multimodal (text&amp;image), 2023 year</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.48</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>512</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>6</th>\n",
        "      <td>Qdrant/Unicom-ViT-B-16</td>\n",
-       "      <td>768</td>\n",
-       "      <td>Image embeddings (more detailed than Unicom-Vi...</td>\n",
+       "      <td>Image embeddings (more detailed than Unicom-ViT-B-32), Multimodal (text&amp;image), 2023 year</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.82</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>768</td>\n",
+       "      <td>{}</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                                model  \\\n",
+       "0                Qdrant/resnet50-onnx   \n",
+       "1  nomic-ai/nomic-embed-vision-v1.5-Q   \n",
+       "2         Qdrant/clip-ViT-B-32-vision   \n",
+       "3                 jinaai/jina-clip-v1   \n",
+       "4    nomic-ai/nomic-embed-vision-v1.5   \n",
+       "5              Qdrant/Unicom-ViT-B-32   \n",
+       "6              Qdrant/Unicom-ViT-B-16   \n",
+       "\n",
+       "                                                                                 description  \\\n",
+       "0                                              Image embeddings, Unimodal (image), 2016 year   \n",
+       "1                                       Image embeddings, Multimodal (text&image), 2024 year   \n",
+       "2                                       Image embeddings, Multimodal (text&image), 2021 year   \n",
+       "3                                       Image embeddings, Multimodal (text&image), 2024 year   \n",
+       "4                                       Image embeddings, Multimodal (text&image), 2024 year   \n",
+       "5                                       Image embeddings, Multimodal (text&image), 2023 year   \n",
+       "6  Image embeddings (more detailed than Unicom-ViT-B-32), Multimodal (text&image), 2023 year   \n",
+       "\n",
+       "      license  size_in_GB additional_files   dim tasks  \n",
+       "0  apache-2.0        0.10               []  2048    {}  \n",
+       "1  apache-2.0        0.10               []   768    {}  \n",
+       "2         mit        0.34               []   512    {}  \n",
+       "3  apache-2.0        0.34               []   768    {}  \n",
+       "4  apache-2.0        0.37               []   768    {}  \n",
+       "5  apache-2.0        0.48               []   512    {}  \n",
+       "6  apache-2.0        0.82               []   768    {}  "
       ]
      },
-     "execution_count": 15,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 15
+   "source": [
+    "(\n",
+    "    pd.DataFrame(ImageEmbedding.list_supported_models())\n",
+    "    .sort_values(\"size_in_GB\")\n",
+    "    .drop(columns=[\"sources\", \"model_file\"])\n",
+    "    .reset_index(drop=True)\n",
+    ")"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -722,40 +992,22 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:10.313943Z",
      "start_time": "2024-11-13T09:01:10.298428Z"
+    },
+    "execution": {
+     "iopub.execute_input": "2026-07-22T21:48:10.542310Z",
+     "iopub.status.busy": "2026-07-22T21:48:10.542195Z",
+     "iopub.status.idle": "2026-07-22T21:48:10.553135Z",
+     "shell.execute_reply": "2026-07-22T21:48:10.552668Z"
     }
    },
-   "source": [
-    "(\n",
-    "    pd.DataFrame(TextCrossEncoder.list_supported_models())\n",
-    "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "                                       model  size_in_GB  \\\n",
-       "0              Xenova/ms-marco-MiniLM-L-6-v2        0.08   \n",
-       "1             Xenova/ms-marco-MiniLM-L-12-v2        0.12   \n",
-       "2            jinaai/jina-reranker-v1-tiny-en        0.13   \n",
-       "3           jinaai/jina-reranker-v1-turbo-en        0.15   \n",
-       "4                     BAAI/bge-reranker-base        1.04   \n",
-       "5  jinaai/jina-reranker-v2-base-multilingual        1.11   \n",
-       "\n",
-       "                                         description       license  \n",
-       "0  MiniLM-L-6-v2 model optimized for re-ranking t...    apache-2.0  \n",
-       "1  MiniLM-L-12-v2 model optimized for re-ranking ...    apache-2.0  \n",
-       "2  Designed for blazing-fast re-ranking with 8K c...    apache-2.0  \n",
-       "3  Designed for blazing-fast re-ranking with 8K c...    apache-2.0  \n",
-       "4  BGE reranker base model for cross-encoder re-r...           mit  \n",
-       "5  A multi-lingual reranker model for cross-encod...  cc-by-nc-4.0  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -776,72 +1028,111 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>model</th>\n",
-       "      <th>size_in_GB</th>\n",
        "      <th>description</th>\n",
        "      <th>license</th>\n",
+       "      <th>size_in_GB</th>\n",
+       "      <th>additional_files</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Xenova/ms-marco-MiniLM-L-6-v2</td>\n",
-       "      <td>0.08</td>\n",
-       "      <td>MiniLM-L-6-v2 model optimized for re-ranking t...</td>\n",
+       "      <td>MiniLM-L-6-v2 model optimized for re-ranking tasks.</td>\n",
        "      <td>apache-2.0</td>\n",
+       "      <td>0.08</td>\n",
+       "      <td>[]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Xenova/ms-marco-MiniLM-L-12-v2</td>\n",
-       "      <td>0.12</td>\n",
-       "      <td>MiniLM-L-12-v2 model optimized for re-ranking ...</td>\n",
+       "      <td>MiniLM-L-12-v2 model optimized for re-ranking tasks.</td>\n",
        "      <td>apache-2.0</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>[]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>jinaai/jina-reranker-v1-tiny-en</td>\n",
-       "      <td>0.13</td>\n",
-       "      <td>Designed for blazing-fast re-ranking with 8K c...</td>\n",
+       "      <td>Designed for blazing-fast re-ranking with 8K context length and fewer parameters than jina-reranker-v1-turbo-en.</td>\n",
        "      <td>apache-2.0</td>\n",
+       "      <td>0.13</td>\n",
+       "      <td>[]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>jinaai/jina-reranker-v1-turbo-en</td>\n",
-       "      <td>0.15</td>\n",
-       "      <td>Designed for blazing-fast re-ranking with 8K c...</td>\n",
+       "      <td>Designed for blazing-fast re-ranking with 8K context length.</td>\n",
        "      <td>apache-2.0</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>[]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>BAAI/bge-reranker-base</td>\n",
-       "      <td>1.04</td>\n",
-       "      <td>BGE reranker base model for cross-encoder re-r...</td>\n",
+       "      <td>BGE reranker base model for cross-encoder re-ranking.</td>\n",
        "      <td>mit</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>[]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>jinaai/jina-reranker-v2-base-multilingual</td>\n",
-       "      <td>1.11</td>\n",
-       "      <td>A multi-lingual reranker model for cross-encod...</td>\n",
+       "      <td>A multi-lingual reranker model for cross-encoder re-ranking with 1K context length and sliding window</td>\n",
        "      <td>cc-by-nc-4.0</td>\n",
+       "      <td>1.11</td>\n",
+       "      <td>[]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                                       model  \\\n",
+       "0              Xenova/ms-marco-MiniLM-L-6-v2   \n",
+       "1             Xenova/ms-marco-MiniLM-L-12-v2   \n",
+       "2            jinaai/jina-reranker-v1-tiny-en   \n",
+       "3           jinaai/jina-reranker-v1-turbo-en   \n",
+       "4                     BAAI/bge-reranker-base   \n",
+       "5  jinaai/jina-reranker-v2-base-multilingual   \n",
+       "\n",
+       "                                                                                                        description  \\\n",
+       "0                                                               MiniLM-L-6-v2 model optimized for re-ranking tasks.   \n",
+       "1                                                              MiniLM-L-12-v2 model optimized for re-ranking tasks.   \n",
+       "2  Designed for blazing-fast re-ranking with 8K context length and fewer parameters than jina-reranker-v1-turbo-en.   \n",
+       "3                                                      Designed for blazing-fast re-ranking with 8K context length.   \n",
+       "4                                                             BGE reranker base model for cross-encoder re-ranking.   \n",
+       "5             A multi-lingual reranker model for cross-encoder re-ranking with 1K context length and sliding window   \n",
+       "\n",
+       "        license  size_in_GB additional_files  \n",
+       "0    apache-2.0        0.08               []  \n",
+       "1    apache-2.0        0.12               []  \n",
+       "2    apache-2.0        0.13               []  \n",
+       "3    apache-2.0        0.15               []  \n",
+       "4           mit        1.04               []  \n",
+       "5  cc-by-nc-4.0        1.11               []  "
       ]
      },
-     "execution_count": 16,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 16
+   "source": [
+    "(\n",
+    "    pd.DataFrame(TextCrossEncoder.list_supported_models())\n",
+    "    .sort_values(\"size_in_GB\")\n",
+    "    .drop(columns=[\"sources\", \"model_file\"])\n",
+    "    .reset_index(drop=True)\n",
+    ")"
+   ]
   },
   {
-   "metadata": {},
    "cell_type": "code",
-   "outputs": [],
    "execution_count": null,
-   "source": ""
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -860,9 +1151,8 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.12.0"
   },
-  "orig_nbformat": 4,
   "vscode": {
    "interpreter": {
     "hash": "c4a27af61e455bc18dcf16f5867a2ff0402fa12b01dd0f6ce3a79ae73ad15e91"