Update config to include domain-specific embedding models in dropdown
7569ab7
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Commit History
Add F1Score calculation for adherence metric aggregation
80326a1
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Add domain-specific embedding models for financial, law, and customer service
d3be8f6
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Feature: Background evaluation - run GPT evaluation without keeping UI open
3bfe1a4
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Feature: Auto-save evaluation results to JSON with collection name and timestamp
c8f53ea
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Fix: Update Qdrant query API for qdrant-client 1.7+
bc4016b
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Fix: Load embedding model when loading existing Qdrant collections
e0273cc
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Restore full app with all dependencies
7406588
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Fix: Change SDK from streamlit to docker in README.md
4be482d
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Super minimal test - only streamlit, no deps
067eae3
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Trigger rebuild
cf46607
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Add extensive logging to debug HF Spaces startup
3c053b7
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Simple Hello World test app to debug HF Spaces
f380f3e
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updated the list of embedding models in config.py to disable some models for a lighter build.
81f53e2
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Remove unused deps: openai, langchain, ragas, tenacity, aiohttp
e5683a2
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Fix: Remove duplicate torch, remove healthcheck, add logging
e50a10b
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Fix HF Spaces timeout: use CPU torch, pre-download model, increase healthcheck timeout
328fbb6
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Create chroma_db/temp.txt
93f7dd7
verified
updated
f1c23b3
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Fix: Update Streamlit config to bind to 0.0.0.0 for HuggingFace
2957796
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Fix: Use CPU-only torch for HuggingFace Spaces free tier
ec429d0
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Initial commit for HuggingFace Spaces - RAG Capstone Project with Qdrant Cloud
1d10b0a
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