Commit History

  1. Update config to include domain-specific embedding models in dropdown

    Developer
    7569ab7
  2. Add F1Score calculation for adherence metric aggregation

    Developer
    80326a1
  3. Add domain-specific embedding models for financial, law, and customer service

    Developer
    d3be8f6

  1. Feature: Background evaluation - run GPT evaluation without keeping UI open⁠

    Developer
    3bfe1a4
  2. Feature: Auto-save evaluation results to JSON with collection name and timestamp

    Developer
    c8f53ea
  3. Fix: Update Qdrant query API for qdrant-client 1.7+

    Developer
    bc4016b
  4. Fix: Load embedding model when loading existing Qdrant collections⁠

    Developer
    e0273cc
  5. Restore full app with all dependencies

    Developer
    7406588
  6. Fix: Change SDK from streamlit to docker in README.md

    Developer
    4be482d
  7. Super minimal test - only streamlit, no deps

    Developer
    067eae3
  8. Trigger rebuild

    Developer
    cf46607
  9. Add extensive logging to debug HF Spaces startup

    Developer
    3c053b7
  10. Simple Hello World test app to debug HF Spaces

    Developer
    f380f3e
  11. updated the list of embedding models in config.py to disable some models for a lighter build.

    Developer
    81f53e2
  12. Remove unused deps: openai, langchain, ragas, tenacity, aiohttp

    Developer
    e5683a2
  13. Fix: Remove duplicate torch, remove healthcheck, add logging

    Developer
    e50a10b
  14. Fix HF Spaces timeout: use CPU torch, pre-download model, increase healthcheck timeout

    Developer
    328fbb6

  1. Create chroma_db/temp.txt

    Verified signature
    93f7dd7
  2. updated

    Developer
    f1c23b3
  3. Fix: Update Streamlit config to bind to 0.0.0.0 for HuggingFace

    Developer
    2957796
  4. Fix: Use CPU-only torch for HuggingFace Spaces free tier

    Developer
    ec429d0
  5. Initial commit for HuggingFace Spaces - RAG Capstone Project with Qdrant Cloud

    Developer
    1d10b0a