Fetching metadata from the HF Docker repository...
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feat: implement multi-stage candidate ingestion and matching pipeline with UI tracking and backend schema support
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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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feat: implement matching router with two-stage retrieval, reranking, and async explanation generation
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fix(ui): add navbar link to API Docs alongside system reset
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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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feat: implement matching router with support for retrieval, reranking, and candidate explanation workflows
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feat: add admin endpoint to reset Postgres schema and Qdrant collection via Alembic migrations
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feat: implement admin endpoint and UI for database and vector store reset
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feat: implement backend ingestion pipeline with Celery workers, Qdrant integration, and session management
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feat: implement FastAPI application with Pinecone/Redis integration and candidate matching router
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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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refactor: unified session view, pipeline polling, db wipe
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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: implement session-based candidate matching architecture
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feat: add gap analysis, LLM explainer via Groq, and all API routes
