Discover blogs about Vector Podcast episodes and the latest in AI, search technology, open source, and emerging tech.
Doug Turnbull and Trey Grainger are the authors of AI-Powered Search, and they teach the course version of the same title through Maven. They sit down with Dmitry to talk about what happens to retrieval when the primary user of a search engine is an LLM: why a search engine is still a cache, why chunking and embedding everything is the wrong first move, and where agentic search is starting to fragment.
Charlie Hull has spent his career fixing search relevance for clients whose systems evolved over 10 or 15 years and became impossible to measure after the original builders left. He sits down with Dmitry to talk about what changed when agents arrived, and where the actual work still lives.
Retrieval Augmented Generation (RAG) enhances AI by combining data retrieval with response generation, allowing models to pull in external information for more accurate, context-aware answers. This approach empowers developers to build flexible, data-driven AI solutions. Discover top open-source RAG libraries to elevate your AI’s capabilities.
