The problem RAG doesn't solve RAG is good for question answering. It's bad for tasks that require knowing dependencies before you act. When an AI coding agent asks "what breaks if I change RunnableSequence?" — RAG retrieves text chunks that mentio...

I mapped LangChain Core as a knowledge graph. 180 modules, 650 dependency edges. Here's what the structure reveals that the docs never tell you. Finding 1: The messages module has a 70% blast radius. Change it and 126 of 180 modules break — directl...

Three retrieval architectures. Same LLM. Same 7,928 queries across 45 domains. Different structure going in. Here are the results: | System | F1 Score | Tokens/query | Cost/query | |---|---|---|---| | RAG FAISS + Claude | 0.123 | 2,982 | ~$0.009 | ...