Fetching metadata from the HF Docker repository...
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feat: implement stage 1 candidate retrieval and scoring logic using Qdrant and multi-factor heuristics
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feat: implement matching router and stage 2 neural reranking logic
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fix: use real candidate count, remove stage2 cap, add full error logging
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fix: replace backend RRF with true percentage math so Stage2 final score aligns with frontend weights
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feat: user-controlled pipeline depth sliders for stage1/stage2 retrieval caps
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fix: cap reranker input to top-40 and fix nginx send timeout to prevent 504
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feat: implement backend matching pipeline and update project documentation
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feat: implement backend ingestion pipeline with Celery workers, Qdrant integration, and session management
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feat: implement backend candidate matching pipeline with Pinecone integration, FastAPI routers, and ingestion workers.
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feat: implement automated ingestion pipeline with state persistence and add database maintenance utilities
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feat: stabilize celery loops, add redis caching, and scale stage 2 neural limit to 250
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feat: add pipeline page, session delete with Qdrant cleanup, explain worker, and final frontend polish
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fix: resolve asyncpg ssl connection errors and Qdrant strict payload filtering
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feat: add gap analysis, LLM explainer via Groq, and all API routes
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feat: implement Stage 2 reranker with BGE cross-encoder and RRF fusion
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feat: implement Stage 1 retriever - ANN search + structured weighted scorer
