Build an AI Agent in 5' with MindsDB
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Jonny Daenen & Tarik Jamoulle
Build a RAG-based AI agent with MindsDB. Turn files and SaaS data into a semantic knowledge base and query everything with natural language.
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
👉 Try the demo code yourself:
Try it out yourself: https://github.com/datamindedbe/demo-technology-exploration/
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