From 4f6020f5abb20d5f45c77a9d9e1250986c11016d Mon Sep 17 00:00:00 2001 From: Jorge Torres Date: Thu, 14 May 2026 17:12:31 -0700 Subject: [PATCH 1/3] Revise README for improved clarity and organization Updated README to enhance clarity and structure, including new sections on Minds Platform and use cases. --- README.md | 185 +++++++++++------------------------------------------- 1 file changed, 35 insertions(+), 150 deletions(-) diff --git a/README.md b/README.md index fa9fd58c898..e977e1b2dca 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,6 @@ -

- - Query engine for AI analytics, powering agents to answer questions across all your live data - -

+
@@ -18,11 +14,7 @@

- AI-coworker - · - Website - · - Docs + Try it · Contact us for a demo · @@ -34,149 +26,46 @@ [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/mindsdb/mindsdb) -MindsDB develops the following products: +## MINDS PLATFORM -* [ANTON](https://github.com/mindsdb/anton) - A personal AI agent that helps you get work done. Tell it what you need in plain language and it takes it from there - sending emails, calling APIs, connecting to data sources, building dashboards, and delivering results. No setup, no plugins, no fuss. +Minds Platform is dedicated to building an open foundation for frontier Artificial Intelligence, designed for developers, businesses, and individuals seeking AI systems they can truly control, extend and deploy anywhere (VPC, on-prem or Cloud). -* [Query Engine](https://docs.mindsdb.com) - The product you are looking at, is a popular query engine for semantic-search. +We believe useful AI systems require two fundamental capabilities: the ability to take meaningful actions autonomously **(Action and Execution)** and the ability to retrieve the right information **(Search and Retrieval)**. Our products are designed around these two foundations: +* [Minds Anton](https://github.com/mindsdb/anton) - **Action and Execution** general purpose AI agent that can get work done. Tell it what you need in plain language and it takes it from there - creating reports, organizing data, sending emails, calling APIs, building dashboards, scheduling tasks, etc. -## What you can build with MindsDB Products +* [Minds Query Engine](https://github.com/mindsdb/engine) - Semantic **Search and Retrieval** query engine, used to index and organize large amounts of data from hundreds of structured and unstructured datasources. -| CONVERSATIONAL ANALYTICS AGENTS | SEMANTIC SEARCH AGENTS | -| --- | --- | -| Get precise, data-driven answers using natural language.

Unify and query data across sources (MySQL, Salesforce, Shopify, etc.), without ETL.

Try Anton | Ground LLM responses in your most relevant internal knowledge.

Search across unstructured sources like documents, support tickets, Google Drive, and more.

Watch video | -## How MindsDB - Query Engine works -

- - MindsDB demo - answer questions in plain English from live enterprise data - -
+# USE CASES -MindsDB - Query Engine follows a simple workflow: **Connect → Unify → Respond**. At the center is an SQL-compatible data language with additional constructs for searching unstructured data, managing workflows (jobs/triggers), and building agents. +| Use Case | Solution | +|---|---| +| Plug-and-play conversational business intelligence across databases and SaaS tools | **Anton** | +| Embeddable conversational business intelligence for applications and internal platforms | **Query Engine** | +| Semantic search across company knowledge, documents, tickets, and cloud storage | **Anton** (+ **Query Engine** to optimize speed) | +| AI coworkers that can take actions across email, APIs, dashboards, and enterprise systems | **Anton** | +| Retrieval-Augmented Generation (RAG) infrastructure for embedded enterprise AI applications | **Query Engine** | +| AI agents grounded in enterprise knowledge that can both answer questions and execute tasks | **Anton + Query Engine** | +| Federated querying and retrieval across multiple structured and unstructured data sources in SQL | **Query Engine** | +| Automated reporting, recurring workflows, and operational task execution | **Anton** | +| Internal enterprise copilots with semantic retrieval and autonomous execution capabilities | **Anton + Query Engine** | +| Enhanced Multi-source AI search and analytics without ETL pipelines | **Query Engine** | +| AI operations assistants for sales, support, finance, and engineering teams | **Anton** | +| Large scale Enterprise AI systems combining memory, retrieval, reasoning, and execution | **Anton + Query Engine** | +--- - - - - - - - - - - - - - -
- Connect - - Universal data access: Give your agents federated access to 200+ live data sources (Postgres, MongoDB, Slack, files, and more). -
- Unify - - Dynamic context engine: Fuse structured tables with vectorized data (text, PDFs, HTML) inside a Knowledge Base. -
- Respond - - Autonomous reasoning: Deploy agents that blend and retrieve data points across your stack to produce grounded answers. -
+# DEPLOY ANYWHERE + +Minds Platform is designed for flexible deployment across: + +- Cloud +- VPC +- On-Prem +- Air-Gapped Environments +- Hybrid Infrastructure -## Setup - -Users can install MindsDB via Docker, Docker Extension, or PyPI. - -Here is how to pull and run MindsDB via Docker: -```bash -docker run --name mindsdb_container \ --e MINDSDB_APIS=http,mysql \ --p 47334:47334 -p 47335:47335 \ -mindsdb/mindsdb:latest -``` - -## Usage - -**Follow the quickstart guide to get started with MindsDB using our demo data.** - -Retrieve and analyze data from over 200 data sources in one SQL dialect. For AI agents, this means faster response time, better accuracy, and lower token consumption. -```sql ---use SQL to aggregate pipeline data from Salesforce -SELECT SUM(ExpectedRevenue) AS open_pipeline -FROM salesforce.opportunities -WHERE close_date >= CURDATE() - ---use the same dialect to retrieve even from a non-SQL database, like MondoDB -SELECT COUNT(*) AS negative_emails_last_30_days -FROM mongodb.support_tickets -WHERE sentiment = 'negative' - AND created_at >= CURRENT_DATE - INTERVAL '30 days'; -``` - -Create views and join data even from different types of data systems. -```sql ---join MongoDB and Salesforce data -CREATE VIEW risky_renewals AS ( -SELECT * -FROM mongodb.support_tickets AS reviews -JOIN salesforce.opportunities AS deals - ON reviews.customer_domain = deals.customer_domain -WHERE deals.type = "renewal" - AND reviews.sentiment = "negative" -); -``` - -Join vectorized and structured data inside a knowledge base. Combine semantic search with precise metadata criteria in a single SQL query. -```sql ---create a knowledge base for customer issues -CREATE KNOWLEDGE_BASE customers_issues -USING - storage = my_vector.db, - content_columns = ['ticket_description']; - metadata_columns = ['customer_name', 'segment', 'revenue', 'is_pending_renewal']; - ---find large customers who submitted ticket related to data security topics -SELECT * FROM customers_issues -WHERE content = 'data security' -AND - is_pending_renewal = 'true'. - revenue > 1000000; -``` - -Use MindsDB pre-packaged data agents and connect them with your own. See how to use MindsDB via API or MCP. -```sql -CREATE AGENT my_agent -USING - model = { - "provider": "openai", - "model_name" : "gpt-xx", - "api_key": "sk-..." - }, - data = { - "knowledge_bases": ["mindsdb.customer_issues"], - "tables": ["salesforce.opportunities", "postgres.sales", "mongodb.support_tickets"] - }, - prompt_template = 'my prompt template and agent guidance'; -``` -See MindsDB’s recommended usage of agents here and how to automate workflows with jobs. - -## 📃 Tutorials -- Enterprise Knowledge Search (example) -- Advanced Semantic Search (example) -- Customer Support Automation (example1, example2) -- Intelligent Content Discovery (example) -- Financial Analysis Agents (example) -- Real-time AI-powered analytics (example) -- Conversational Data Assistants (example) -- CRM Intelligence (example) -- Compliance & Customer Intelligence (example) -- Conversation Intelligence (example) -Subscribe to our (blog) for more +Maintain full control over your infrastructure, models, permissions, and data. ## 🫴 Help and support @@ -210,14 +99,10 @@ Stuck on a query? Found a bug? We’re here to help. **Security Note:** If you find a security vulnerability, please do not open a public issue. Refer to our security policy for reporting instructions. -## 🤝 Contribute to MindsDB +## 🤝 Contribute to Minds Platform -MindsDB is open source and contributions are welcome! You can submit code changes through pull requests or by opening issues to report bugs, suggest new features, or enhancements. +Minds Platform is open source and contributions are welcome! You can submit code changes through pull requests or by opening issues to report bugs, suggest new features, or enhancements. -**Ways you can help:** -- Develop a database integration -- Develop an app integration -- Identify and fix bugs **How to contribute** From 60a23984ca9061619a7cdb6bc0146d9029e19fb2 Mon Sep 17 00:00:00 2001 From: Jorge Torres Date: Thu, 14 May 2026 17:31:26 -0700 Subject: [PATCH 2/3] Update description of Minds Anton AI agent --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e977e1b2dca..776dd1baddf 100644 --- a/README.md +++ b/README.md @@ -32,7 +32,7 @@ Minds Platform is dedicated to building an open foundation for frontier Artifici We believe useful AI systems require two fundamental capabilities: the ability to take meaningful actions autonomously **(Action and Execution)** and the ability to retrieve the right information **(Search and Retrieval)**. Our products are designed around these two foundations: -* [Minds Anton](https://github.com/mindsdb/anton) - **Action and Execution** general purpose AI agent that can get work done. Tell it what you need in plain language and it takes it from there - creating reports, organizing data, sending emails, calling APIs, building dashboards, scheduling tasks, etc. +* [Minds Anton](https://github.com/mindsdb/anton) - **Action and Execution** self-improving AI agent that can get any type work done. Tell it what you need in plain language and it takes it from there - creating reports, organizing data, sending emails, calling APIs, building dashboards, scheduling tasks, etc. * [Minds Query Engine](https://github.com/mindsdb/engine) - Semantic **Search and Retrieval** query engine, used to index and organize large amounts of data from hundreds of structured and unstructured datasources. From 3b383ffa126d2e08049eb1f6c3369ecbb0102653 Mon Sep 17 00:00:00 2001 From: Jorge Torres Date: Thu, 14 May 2026 17:41:08 -0700 Subject: [PATCH 3/3] Update README.md --- README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.md b/README.md index 776dd1baddf..453cfb3706f 100644 --- a/README.md +++ b/README.md @@ -24,8 +24,6 @@ --- -[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/mindsdb/mindsdb) - ## MINDS PLATFORM Minds Platform is dedicated to building an open foundation for frontier Artificial Intelligence, designed for developers, businesses, and individuals seeking AI systems they can truly control, extend and deploy anywhere (VPC, on-prem or Cloud).