Cookboook with Firecrawl #200

apps/next-js/vitest.config.ts

@@ -1,9 +1,6 @@
 import { defineConfig } from 'vitest/config'
 
 export default defineConfig({
-  esbuild: {
-    jsx: 'automatic',
-  },
   test: {
     environment: 'jsdom',
     globals: true,

examples/cookbook/firecrawl/.env.example

@@ -0,0 +1,9 @@
+# Example env for Firecrawl + Moss cookbook
+# Copy to .env and fill in values before running the notebook.
+
+# Moss credentials
+MOSS_PROJECT_ID=your_moss_project_id
+MOSS_PROJECT_KEY=your_moss_project_key
+
+# Firecrawl API key
+FIRECRAWL_API_KEY=your_firecrawl_api_key

examples/cookbook/firecrawl/README.md

@@ -0,0 +1,97 @@
+# Firecrawl + Moss Cookbook Example
+
+Use Firecrawl to turn one or more URLs into clean markdown, then index the results into Moss and query them semantically from a notebook.
+
+> This is a cookbook example, not a packaged integration. Open [firecrawl_moss.ipynb](firecrawl_moss.ipynb) to follow the full URL-to-query pipeline.
+
+## Installation
+
+```bash
+pip install firecrawl-py moss python-dotenv
+```
+
+## Setup
+
+Set these environment variables in your shell or a `.env` file:
+
+```bash
+FIRECRAWL_API_KEY=your-firecrawl-api-key
+MOSS_PROJECT_ID=your-project-id
+MOSS_PROJECT_KEY=your-project-key
+```
+
+## Quick Start
+
+1. Open [firecrawl_moss.ipynb](firecrawl_moss.ipynb) in Jupyter or VS Code.
+2. Run the setup and helper cells.
+3. Set `urls` to the pages you want to ingest.
+4. Run `await build_and_query_knowledge_base(urls)` to crawl, index, and query the content.
+
+## Workflow
+
+The notebook is structured for efficiency:
+
+1. **Prepare** (one-time): Crawl URLs → normalize markdown → index into Moss
+2. **Query** (repeated): Run semantic queries against the indexed knowledge base without re-crawling
+
+This design lets you crawl once (which can be slow/expensive) and then iterate on queries quickly.
+
+## Architecture
+
+```
+┌─────────────┐
+│   URLs      │
+└──────┬──────┘
+       │
+       |
+       │
+┌──────▼─────────────────┐
+│  Crawled Pages         │
+│  (raw HTML/markdown)   │
+└──────┬─────────────────┘
+       │
+       |
+       │
+┌──────▼─────────────────┐
+│   Markdown             │
+│  (one DocumentInfo     │
+│   per page)            │
+└──────┬─────────────────┘
+       │
+       ├──> Moss Create Index
+       │
+┌──────▼─────────────────┐
+│  Indexed Knowledge     │
+│  Base (local or cloud) │
+└──────┬─────────────────┘
+       │
+       ├──> Semantic Query (reusable)
+       │    (no re-crawling needed)
+       │
+┌──────▼─────────────────┐
+│  Top-K Results         │
+│  (scored passages)     │
+└─────────────────────────┘
+```
+
+## What the notebook does
+
+```python
+from firecrawl import Firecrawl
+from moss import DocumentInfo, MossClient, QueryOptions
+
+job = Firecrawl(api_key=FIRECRAWL_API_KEY).crawl(
+	url="https://example.com",
+	limit=3,
+	scrape_options={"formats": ["markdown"]},
+)
+
+documents = [DocumentInfo(id="1", text=job.data[0].markdown, metadata={"source_url": "https://example.com"})]
+await MossClient(MOSS_PROJECT_ID, MOSS_PROJECT_KEY).create_index("firecrawl-demo", documents)
+```
+
+## Files
+
+| File | Description |
+|------|-------------|
+| `firecrawl_moss.ipynb` | Notebook that crawls URLs, indexes markdown into Moss, and runs semantic search |