How to build a RAG Agent with MindsDB

In this episode, 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 baseMake Google Drive & Slack data queryable in minutesBuild a custom AI Agent on top of your knowledge basesRun MindsDB locally with DockerUse SQL to configure agents, connectors, and knowledge basesExpose your agent through a simple API for app integrationWe also touch on:Chunking & embedding strategiesLocal vs. cloud LLMsHow MindsDB compares to full ETL approaches