Fetching metadata from the HF Docker repository...
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.github
added github action workflows
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archive
resolved dependency issues
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bin
added winnie-the-pooh mode; and clean up question by user_id
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config
swap to new embedding model and handle user 'i dont know' scenario
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database
refined
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models
swap to new embedding model and handle user 'i dont know' scenario
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notebooks
swap to new embedding model and handle user 'i dont know' scenario
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pages
corrected the streamlit query_params bug
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raw_documents
tweak the vision_api prompt, create configuration files, minor tweak to main script
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resource
finishing up the app: UI, content understanding, questionaire, coaching
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ux
added ux, vision_api, qna.txt
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147 Bytes
cache chroma_db, fine-tuned-embeddings, etc.
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100 Bytes
to create RAGAs result with triad of metrics
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344 Bytes
point streamlit to streamlit_app
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2.83 kB
to create RAGAs result with triad of metrics
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546 Bytes
swap to new embedding model and handle user 'i dont know' scenario
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4.85 kB
refined
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8.78 kB
refined
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5.38 kB
resolved dependency issues
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249 Bytes
finished answer evaluation
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15 kB
refined
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2.72 kB
to create RAGAs result with triad of metrics
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1.4 kB
tweak the vision_api prompt, create configuration files, minor tweak to main script
