Anthropic Contextual Retrieval in 2026: Weaviate Hands-On
Anthropic contextual retrieval fixes the chunk-context problem breaking RAG in 2026. Hands-on Weaviate build, real code, and benchmarks you can ship this week.
Chapter 1: Why Retrieval Still Fails in 2026: The Case for Contextual Retrieval You have built a RAG system. You chunked your documents at 500 tokens, embedded them with a good model, dropped them into a vector database, and wired up a top-5 retrieval call in front of your LLM. It demos beautifully. Then a user asks a question that any human reading the source document could answer in four seconds, and your system confidently returns three chunks about the wrong fiscal quarter. This is not a bug in your embedding model. It is not a prompt engineering problem. It...