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RAG-study-assistant

2.78 MB

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History: 27 commits

kevinkim728

fix: reduce example questions to 6 for cleaner 3x2 layout

684aaad about 1 month ago

results
Remove outdated result files and enhance filename generation logic in eval.py. Update test cases for improved keyword accuracy. Finalized encoder models about 2 months ago
transcripts
Update CLAUDE.md for clarity on feedback expectations and modify RAG_notebook.ipynb to merge chunks, re-rank them, and output the best result about 2 months ago
.gitignore

206 Bytes
Remove .DS_Store and add to .gitignore about 2 months ago
.python-version

5 Bytes
Initial commit about 2 months ago
CLAUDE.md

878 Bytes
Update CLAUDE.md for clarity on feedback expectations and modify RAG_notebook.ipynb to merge chunks, re-rank them, and output the best result about 2 months ago
RAG_notebook.ipynb

31.5 kB
Created answer.py and main.py to run the rag. Created eval and tests to test result accuracy about 2 months ago
README.md

2.59 kB
fix: update sdk_version to 6.14.0 and pin gradio to match about 1 month ago
answer.py

5.83 kB
feat: add example questions, tighten grounding instruction, disable markdown tables about 1 month ago
app.py

2.92 kB
fix: reduce example questions to 6 for cleaner 3x2 layout about 1 month ago
eval.py

8.22 kB
Refactor eval.py to remove unused context fetching functions, streamlining the pipeline configuration. about 2 months ago
ingest.py

3.35 kB
refactor: switch to Groq, prep app for HF Spaces, clean up comments about 1 month ago
main.py

285 Bytes
Created the front end UI and the README. about 2 months ago
pyproject.toml

378 Bytes
Refactor answer.py and eval.py to integrate OpenAI client, update embedding models, and enhance pipeline debugging. Add einops dependency in pyproject.toml. Created results files to compare about 2 months ago
requirements.txt

174 Bytes
fix: add openai to requirements for optional local use about 1 month ago
tests.jsonl

119 kB
feat: add example questions, tighten grounding instruction, disable markdown tables about 1 month ago
uv.lock

707 kB
Refactor answer.py and eval.py to integrate OpenAI client, update embedding models, and enhance pipeline debugging. Add einops dependency in pyproject.toml. Created results files to compare about 2 months ago