Build a RAG-based Agent with MindsDB

In this Technical Exploration, Jonny and Tarik show how to build a fully functioning RAG-based AI agent using MindsDB, turning internal data from Postgres, Slack, or Google Drive into a queryable knowledge base powered by semantic search.

You'll see how to:

• Convert internal documents into a semantic knowledge base
• Make Google Drive & Slack data queryable in minutes
• Build a custom AI Agent on top of your knowledge bases
• Run MindsDB locally with Docker
• Use SQL to configure agents, connectors, and knowledge bases
• Expose your agent through a simple API for app integration

We also touch on:

• Chunking & embedding strategies
• Local vs. cloud LLMs
• How MindsDB compares to full ETL approaches

Resources:

• Demo code: https://github.com/datamindedbe/demo-technology-exploration/
• Previous episode (PyAirbyte): https://youtu.be/eLUQrSqP-ns
• Click here to watch a video of this episode.
  
• Full playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb

Note: This video is not sponsored or affiliated with MindsDB.

Creators & Guests

• Jonny Daenen - Host
• Tarik Jamoulle - Guest

Chapters:

• (00:00) - Intro: What is MindsDB?
• (02:03) - Scope and dataset
• (03:08) - Quick tour: connectors & UI
• (06:34) - Components: Source, Knowledge Base & Agent
• (06:55) - Agent demo + how MindsDB queries data
• (08:36) - The code: getting MindsDB running
• (11:27) - Q&A: embedding times & creating your agent
• (14:03) - A Slack agent in 5 minutes
• (17:19) - Multi-knowledge-base agents
• (18:23) - Q: Integrating with SDK & MCP
• (19:31) - Takeaways

Data & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype.

Music by Aleksandr Karabanov from Pixabay