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A LangChain-based Retrieval-Augmented Generation (RAG) chatbot for medical data. Integrates with ollama (llama-3.1 present locally on system) model and nomic embeddings (present locally on system) to deliver accurate, context-aware answers in healthcare and biomedical domains.
make sure install all requirement
activate environment (if running in env)
run mlflow server ->
mlflow ui
run the notebook -> cell wise
dvc add and dvc push ->>> push the data to dvc remote
git add --> git commit --> git push to push the codebase (including metadata of dvc) to github/dagshub or any other remote
For more (RAG pipeline and RAG evaluation using RAGAS) click : ragas Readme.
Modularized and seperate pipeline code Flow (RAG pipeline and RAG evaluation using RAGAS) click : ragas Readme.
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A LangChain-based Retrieval-Augmented Generation (RAG) chatbot for medical data. Integrates with Gemini/Grok AI to deliver accurate, context-aware answers in healthcare and biomedical domains.