https://intelligentartifact.com/tags/rag/ Recent content in Rag on Intelligent Artifact Hugo en-us Tue, 01 Sep 2026 09:26:38 +0000 https://intelligentartifact.com/posts/write-change-recall-forget-mongodb-agent-memory/ Tue, 01 Sep 2026 09:26:38 +0000 https://intelligentartifact.com/posts/write-change-recall-forget-mongodb-agent-memory/ MongoDB's field CTO of AI argues agent performance — especially cost-adjusted — is a retrieval problem, not a model problem: a history of constraints, why embeddings aren't commoditized, and the write/change/recall/forget memory loop. https://intelligentartifact.com/posts/the-one-skill-that-survives-the-ai-shift/ Sun, 30 Aug 2026 23:00:23 +0000 https://intelligentartifact.com/posts/the-one-skill-that-survives-the-ai-shift/ Vectara's Ofer Mendelevitch (Hands-On RAG for Production) on building RAG systems that actually work at scale — retrieval, multimodal data, knowledge graphs, evals without golden answers — and why the skill that survives the AI shift is directing agents, not writing code. https://intelligentartifact.com/posts/rag-is-simpler-than-you-think/ Wed, 26 Aug 2026 08:55:00 -0400 https://intelligentartifact.com/posts/rag-is-simpler-than-you-think/ A practical argument that most RAG setups are over-engineered: start with plain search and only add AI machinery when the data proves you need it. https://intelligentartifact.com/posts/how-multi-vector-retrieval-works-at-scale/ Fri, 21 Aug 2026 21:30:02 +0000 https://intelligentartifact.com/posts/how-multi-vector-retrieval-works-at-scale/ Why single-vector embeddings fail agentic retrieval, how late-interaction multi-vector scoring preserves low-level detail, and how sparse encoding makes it fast enough for production.