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Designed a Retrieval-Augmented Generation (RAG) system for document questionanswering • • Integrated Llama 3 7B model for language understanding • Utilized LlamaIndex framework for efficient information retrieval • Implemented Chroma DB for vector storage • Generated embeddings using BAAI/bge-small-en-v1.5 model

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ravivarmapatturi/-RAG-Powered-Document-Answering-System

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-RAG-Powered-Document-Answering-System

Designed a Retrieval-Augmented Generation (RAG) system for document questionanswering

• Integrated Llama 3 7B model for language understanding

• Utilized LlamaIndex framework for efficient information retrieval

• Implemented Chroma DB for vector storage

• Generated embeddings using BAAI/bge-small-en-v1.5 model

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Designed a Retrieval-Augmented Generation (RAG) system for document questionanswering • • Integrated Llama 3 7B model for language understanding • Utilized LlamaIndex framework for efficient information retrieval • Implemented Chroma DB for vector storage • Generated embeddings using BAAI/bge-small-en-v1.5 model

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