Add chunking and multi-query retrieval#2
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- Chunk documents (1000 chars, 200 overlap) before embedding for better retrieval precision - Generate multiple query variants using LLM to improve recall - Retrieve docs for all queries in parallel and deduplicate results Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Limit retrieved docs to k*2 to reduce noise in sources - Click source cards to expand and view the actual chunk text Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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* Add RecursiveCharacterTextSplitter and multi-query retrieval - Chunk documents (1000 chars, 200 overlap) before embedding for better retrieval precision - Generate multiple query variants using LLM to improve recall - Retrieve docs for all queries in parallel and deduplicate results Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Cap multi-query results and add expandable source citations - Limit retrieved docs to k*2 to reduce noise in sources - Click source cards to expand and view the actual chunk text Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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documentstable🤖 Generated with Claude Code