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This project contains Retrieval Augmented Generation(RAG) using open source models, the models are pulled from ollama. Specifically the models used here are gemma-2 as LLM and nomic-embed-text to generate embeddings

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Dishant1804/RAG-opensource

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Overview

This project contains Retrieval Augmented Generation(RAG) using open source models, the models are pulled from ollama. Specifically the models used here are gemma-2 as LLM and nomic-embed-text to generate embeddings, the output is then fine tuned with the help of lang chain and also there is a support to upload a pdf and ask questions to it

For understandding the architecture of RAG read this blog:

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This project contains Retrieval Augmented Generation(RAG) using open source models, the models are pulled from ollama. Specifically the models used here are gemma-2 as LLM and nomic-embed-text to generate embeddings

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