{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Technology Explorations in Data & AI","title":"Build a RAG-based Agent with MindsDB","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/e275659d\"></iframe>","width":"100%","height":180,"duration":1257,"description":"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.\nYou'll see how to:\nConvert internal documents into a semantic knowledge base\nMake Google Drive & Slack data queryable in minutes\nBuild a custom AI Agent on top of your knowledge bases\nRun MindsDB locally with Docker\nUse SQL to configure agents, connectors, and knowledge bases\nExpose your agent through a simple API for app integration\nWe also touch on:\nChunking & embedding strategies\nLocal vs. cloud LLMs\nHow MindsDB compares to full ETL approaches\nResources:\nDemo code: https://github.com/datamindedbe/demo-technology-exploration/\nPrevious episode (PyAirbyte): https://youtu.be/eLUQrSqP-ns\n\nFull playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb\nNote: This video is not sponsored or affiliated with MindsDB.\nChapters:\nData & 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.\nMusic by Aleksandr Karabanov from Pixabay","thumbnail_url":"https://img.transistorcdn.com/z5RDJLT6bqK4m6zhRkosVXEjgssOVw4nBJpnb_UIEaQ/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83Mzcx/ZDNiNjIzNzMxZGE3/ZmNmNmUyMjBkMWFk/MTJlYS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}