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feat: HF Spaces deployment — FAISS retriever, single-container Docker build
vksepm +1: Claude Haiku 4.5Major architecture changes for HF Spaces: - Replaced pgvector+PostgreSQL with FAISS in-memory index (loaded from HF Dataset at startup) - Replaced multi-container Docker Compose with single-container root Dockerfile - Frontend + backend + nginx + supervisord in one image, port 7860 - Corpus now from pre-embedded HF Dataset (DreamyDetective/agentic-rag-chunks) - SQLite for auth/logging, no pgvector needed - entrypoint.sh → init_db → supervisord startup sequence - nginx.hf.conf routes port 7860 to uvicorn at :8000 - Models (SentenceTransformer, CrossEncoder) baked into image at build time New files: - Dockerfile (root) - single-container build - entrypoint.sh - startup script - nginx.hf.conf - nginx config for port 7860 - supervisord.conf - process manager - build_dataset.py - standalone corpus building script - backend/scripts/build_hf_dataset.py - backend variant - docs/HF Spaces Deployment Guide.md - full deployment walkthrough - docs/Build Dataset Guide.md - corpus build guide Modi…635dd02 -
updated docs
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updated ui
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updated documentation
vksepm9450b77
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added testing scripts
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TruLens Azure judges, reranked context for metrics, feedback timeout; extend API proxy timeouts
vksepm- TruLens: Azure OpenAI client, skip Responses API, retrieve_feedback_results with configurable TRULENS_FEEDBACK_TIMEOUT; replay retrieve returns list[str]; robust row lookup and logging. - Agent/query API: plumb reranked_context for TruLens context relevance and groundedness. - Frontend: nginx and Vite dev proxy read/send timeouts to 600s for long agentic queries. - Docs and .env.example updated for new behavior and troubleshooting. Made-with: Cursor1499b8f -
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vksepmbefore asking cursor to fix the trulens errorde262f8