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Description
- new RAG engine
Query
↓ Expand queries with LLM (better recall)
↓ Parallel dense + sparse embedding (hybrid search)
↓ Hybrid retrieval (best of both worlds)
↓ Deduplicate (remove redundant results)
↓ Normalize (score consistency)
↓ Cross-encoder rerank (precision boost)
↓ Context reconstruction (better answers)
↓ Context merge (coherent output)
↓ LLM answer (final response)
- clean up and better UI
- chat
- PWA
- connection notion
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