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This week the Retrieval Augmented Gathering online conference continues! Last week we explored index-only SPLADE, got a demo of tensors in the search engine, and how to think of agentic memory as telemetry. This week we've got talks below: Embeddings don't solve RAG (today)Solving retrieval for agents isn't as simple as chunk + embed. For one, similarity is not relevance. An decides what's relevant depending on not just raw text, but everything that 'surrounds' it. Places it in context. Would you trust BM25 content written by George RR Martin? Would you want you want recent information? Popular information? Agents need metadata to think about search navigationally, not just as flat retrieved docs. Link: https://maven.com/p/74f7ed/embeddings-don-t-solve-rag IR Today: Theory, Practice, and Agents (tomorrow)LLMs and agentic search have dominated search in 2026. Daniel Tunkelang will give his observations after attending SIGIR, the world’s leading conference on search and information retrieval, as well as reflecting on his own experience as a practitioner. Link: https://maven.com/p/1f1f46/ir-today-theory-practice-and-agents High scale agentic memory with Turbopuffer (Thursday)Agents don't remember what they learn in any one session: Jargon. Personal preferences. What works / doesn't work. In this talk, we'll explore one approach: just index all agentic traces into a high-scale vector database like Turbopuffer. Link: https://maven.com/p/e48f16/high-scale-agentic-memory-with-turbopuffer Cheat at Search w/ Agents training starts next weekI teach people how to improve and build better RAG + Agentic Retrieval. A reminder my course starts in one week. Hope to see you there: http://maven.com/softwaredoug/cheat-at-search Cheers, -Doug Slack Community * Events · Consulting · Training (use code search-tips) You're subscribed to Doug Turnbull's daily search tips where I share tips, blog articles, events, and more. You can always manage your profile: |
I share search tips, blog articles, and free events I'm hosting about the search+retreval industry, vector databases, information retrieval and more.
Over the next two weeks, Trey Grainger and I are hosting a free online conference, The Future of AI Search w/ talks from some of your favorite search people. The lineup Unreasonable Effectiveness of BM25 for Agentic Search by Hornet.dev founder Jo Kristian-Bergum Introducing Luxir: Can we build the fastest search engine? by Solr creator Yonik Seeley Building topk-embed-v1: frontier multi-vector embeddings by Marek Galovic, CEO Top K Can a Decision Model Think like a Search Engineer by David...
In a Jev reranker you ask Jev to give P(Yes) of the answer to a question like Is this document relevant to the query? And you rank by P(yes) It works! But... that's kinda boring. I think we can do better: we could also have an LLM generate the questions per query. IE query "desk for kids" has us evaluate products with criteria like Is it less than 36 inches? Is it a playful design? Does it explicitly say its designed for children? Then rerank this query using the sum of P(yes) of those...
Hey all, Just a note tomorrow I'll be giving a talk on High-Scale Agent Memory in Turbopuffer Its a first step into a larger world! Agent memory helps new sessions feel like they're continuing a conversation not restarting one. Come, have fun, see the mistakes I've made, and get an intro to Turbopuffer. Event link - https://maven.com/p/e48f16/high-scale-agentic-memory-with-turbopuffer Cheers, -Doug Slack Community * Events · Consulting · Training (use code search-tips) You're subscribed to...