Stop Losing Chunk Context: Anthropic's Contextual Retrieval with Spring AI and Virtual Threads

Automated excerpt

Naive chunking destroys document semantics, causing over half of production RAG retrieval queries to miss critical context. Prepending dynamic contextual summaries via Anthropic’s prompt caching—executed concurrently across chunks using Java Virtual Threads—fixes this without blowing your latency or LLM budget. Inject LLM-generated chunk context using Claude 3. 5 Sonnet and prompt caching, fanned out concurrently via Java Virtual Threads into a hybrid BM25 and vector index.

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