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.
Chapters:
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
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
