This week on the Vector Podcast, Robert Loft and Haley Hanson guide listeners through the rising trend of Retrieval Augmented Generation (RAG) and how it’s reshaping AI capabilities. Imagine AI that doesn't just respond to queries but finds the freshest, most relevant information before it replies — that's RAG in action. We explore seven open-source libraries pushing this technology forward, from SWIRL and Cognita to Haystack and Graph RAG, each bringing its own twist to AI-driven search, document retrieval, and contextual understanding.

Highlights include:

• What RAG really does for AI by minimizing errors and boosting relevance
• Hands-on tools like LLM-Ware and Storm to build smarter, scalable AI for businesses
• Challenges in RAG: handling real-time data, managing latency, and securing private information

If you’re curious about the mechanics behind smarter AI or considering building your own RAG-powered applications, this episode is for you!