https://github.com/sgb31/csv-retrival-based-rag
Created a simple RAG system that lets users upload any CSV file and ask questions about it. It reads the data, finds the most relevant info, and uses an LLM to answer the query. Super handy for quickly exploring and understanding data through natural language.
https://github.com/sgb31/csv-retrival-based-rag
generative-ai llm numpy pandas pydantic python3 sentence-transformers sklearn streamlit transformers
Last synced: 5 days ago
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Created a simple RAG system that lets users upload any CSV file and ask questions about it. It reads the data, finds the most relevant info, and uses an LLM to answer the query. Super handy for quickly exploring and understanding data through natural language.
- Host: GitHub
- URL: https://github.com/sgb31/csv-retrival-based-rag
- Owner: sgb31
- Created: 2025-05-28T00:40:08.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-28T01:14:16.000Z (about 1 year ago)
- Last Synced: 2025-08-31T16:44:59.598Z (10 months ago)
- Topics: generative-ai, llm, numpy, pandas, pydantic, python3, sentence-transformers, sklearn, streamlit, transformers
- Language: Python
- Homepage:
- Size: 10.7 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
website link : https://csv-retrival-based-rag-c9tdrwybtaijhywdvc3e4f.streamlit.app/