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Welcome to the Langchain_QA app repository, a powerful tool built on Google Gemini technology. Our QA app is designed to efficiently implement the RAG (Retrieval-Augmented Generation) model, leveraging cutting-edge technologies including Langchain, Chainlit, and Gemini for lightning-fast query search and response generation.

Dockerfile 0.61% Python 17.74% Jupyter Notebook 81.65%

chainlit docker ec2-instance ecr-repositories faiss-vector-database gemini-ai generative-ai github-actions langchain python

langchain_qa's Introduction

Hi 👋, I'm Rajarshi Roy

A passionate Data Science enthusiast from India

🌱 I’m currently learning Gen AI tools, Pytorch, OpenCV, NLTK
👨‍💻 Check out my Portfolio website at https://rajarshi12321.github.io/rajarshi_portfolio/
📝 All of my projects are available at https://github.com/Rajarshi12321/
💬 Ask me about Python, SQL, LlamaIndex, Langchain, Google Gemini
📫 How to reach me [email protected]
📄 Know about my experiences https://rajarshi12321.github.io/rajarshi_portfolio/resume.pdf
⚡ Check out my Linkedin Account https://www.linkedin.com/in/rajarshi-roy-learner/

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