rag
Advanced Retrieval-Augmented Generation (RAG) system combining semantic search with powerful language models to provide contextually rich responses across multiple knowledge domains.
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic links in README
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.6%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Advanced Retrieval-Augmented Generation (RAG) system combining semantic search with powerful language models to provide contextually rich responses across multiple knowledge domains.
Basic Info
- Host: GitHub
- Owner: ingenuity-app
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://synthara-company.github.io/rag/
- Size: 1.8 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
License
Citation
GitHub Events
Total
Last Year
Dependencies
deployment/Dockerfile
docker
- python 3.10-slim build
deployment/docker-compose.yml
docker
deployment/requirements.txt
pypi
- anthropic >=0.5.0
- beautifulsoup4 >=4.12.0
- faiss-cpu >=1.7.4
- fastapi >=0.95.0
- graphviz >=0.20.0
- gunicorn >=20.1.0
- line-profiler >=4.0.0
- matplotlib >=3.7.0
- memory-profiler >=0.60.0
- networkx >=3.0.0
- numpy >=1.24.0
- openai >=1.0.0
- pandas >=2.0.0
- plotly >=5.14.0
- psutil >=5.9.0
- python-dotenv >=1.0.0
- python-louvain >=0.16
- requests >=2.30.0
- scikit-learn >=1.2.0
- sentence-transformers >=2.2.0
- spacy >=3.5.0
- streamlit >=1.22.0
- tmdbsimple >=2.9.0
- torch >=2.0.0
- transformers >=4.30.0
- uvicorn >=0.22.0
requirements.txt
pypi
- beautifulsoup4 ==4.12.3
- faiss-cpu ==1.7.4
- line-profiler ==4.1.2
- matplotlib *
- memory-profiler ==0.61.0
- networkx *
- numpy ==1.24.3
- openai ==1.12.0
- pandas ==2.0.1
- psutil ==5.9.8
- python-dotenv ==1.0.0
- requests ==2.32.3
- scikit-learn ==1.2.2
- sentence-transformers ==2.3.1
- time-machine ==2.14.1
- tmdbsimple ==2.9.1
- torch *
- transformers ==4.48.0