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Deploy to HuggingFace Spaces - Medical RAG with vector store
Nikhil Pravin Pise9699bea -
feat: production upgrade — agentic RAG, OpenSearch, Redis, Langfuse, Docker, Gradio, Telegram
Nikhil Pravin PisePhase 1: Project structure & dev tooling - pyproject.toml with Ruff/MyPy/pytest config and optional deps - Makefile with dev/test/docker/lint targets - Multi-stage Dockerfile + docker-compose.yml (12 services) - .env.example, .pre-commit-config.yaml Phase 2: Core infrastructure - src/settings.py: hierarchical Pydantic Settings (env-driven) - src/exceptions.py: domain exception hierarchy (15+ classes) - src/database.py: SQLAlchemy engine/session factory - src/models/analysis.py: ORM models (PatientAnalysis, MedicalDocument, SOPVersion) - src/repositories/: data access layer Phase 3: Production services - OpenSearch client with BM25, KNN vector, and hybrid RRF search - Medical synonym analyzer + KNN index mapping (1024d, HNSW) - Multi-provider embedding service (Jina/Google/HuggingFace) with fallback - Redis cache with graceful degradation (NullCache) - Langfuse v3 observability tracer (NullSpan for no-ops) - Ollama REST client with streaming + LangChain integration - Medical-aware tex…1e732dd -
Refactor: Improve code quality, security, and configuration
Nikhil Pravin Pise- Remove redundant sys.path manipulation in agents and services - Enhance CORS configuration with environment-based origin handling - Improve error handling (no internal detail leakage) - Fix environment variable handling in setup scripts (remove extra quotes) - Update gitignore for external tools and course materials - Correct clinical biomarker reference ranges - Add comprehensive production upgrade plan - Improve test configuration (HuggingFace deprecation filters) - Add optional dependencies for evaluation tools - Consolidate path initialization patternsad2e847 -
docs: update all documentation to reflect current codebase state
Nikhil Pravin Pise- Update README.md: correct test count (83 -> 30), fix test commands - Rewrite START_HERE.md as proper onboarding guide - Update QUICKSTART.md and CONTRIBUTING.md test commands - Update api/ docs: Groq/Gemini as default providers (not Ollama) - Update api/ARCHITECTURE.md: multi-provider LLM diagram - Update api/GETTING_STARTED.md: Groq/Gemini prerequisites - Update api/QUICK_REFERENCE.md: fix troubleshooting, commands - Update docs/DEVELOPMENT.md: fix code examples, test commands - Update docs/DEEP_REVIEW.md: add RESOLVED/OPEN status to all findings - Update scripts/README.md: use .venv python paths - Archive stale root-level docs to docs/archive/ - All 30 tests passingaefac4f
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Remove GITHUB_READY.md from repository
Nikhil Pravin Pise92981df -
refactor: major repository cleanup and bug fixes
Nikhil Pravin PiseCleanup & Organization: - Removed clutter: deleted archive/ and setup.py - Reorganized scripts: moved PowerShell startup scripts to scripts/ - Created examples/ folder with HTML/JS integration examples - Consolidated docs: archived 13 old implementation notes to docs/archive/ - Rewrote root README.md for clarity and professional appearance Core Bug Fixes: - Fixed Google Gemini embedding API 404 error by switching to HuggingFace local embeddings - Upgraded torch/torchvision to resolve PyTorch compatibility issues - Fixed HuggingFaceEmbeddings import and configuration in pdf_processor.py - Successfully rebuilt FAISS vector store with compatible embeddings (2,609 chunks) Documentation: - Created docs/ARCHITECTURE.md: system design, components, data flow - Created docs/API.md: complete REST API reference with examples - Created docs/DEVELOPMENT.md: extension guide for developers - Created scripts/README.md: utility scripts reference - Created examples/README.md: integration patterns for …6dc9d46
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The Context is Here
Nikhil Pravin Pisea8c922b -
Initial commit
Nikhil Pravin Pise68e2687