Building AI Agents that actually automate Knowledge Work - Jerry Liu, LlamaIndex

Evaluating AI Search: A Practical Framework for Augmented AI Systems — Quotient AI + Tavily

Scaling Enterprise-Grade RAG: Lessons from Legal Frontier - Calvin Qi (Harvey), Chang She (Lance)

Architecting Agent Memory: Principles, Patterns, and Best Practices — Richmond Alake, MongoDB

Layering every technique in RAG, one query at a time - David Karam, Pi Labs (fmr. Google Search)

Information Retrieval from the Ground Up - Philipp Krenn, Elastic

Forget RAG Pipelines—Build Production Ready Agents in 15 Mins: Nina Lopatina, Rajiv Shah, Contextual

Building Alice’s Brain: an AI Sales Rep that Learns Like a Human - Sherwood & Satwik, 11x

Vector Search Benchmark[eting] - Philipp Krenn, Elastic

RAG in 2025: State of the Art and the Road Forward — Tengyu Ma, MongoDB (acq. Voyage AI)

The State of AI Powered Search and Retrieval — Frank Liu, MongoDB (prev Voyage AI)

Building a Smarter AI Agent with Neural RAG - Will Bryk, Exa.ai