NisaarAgharia/Advanced_RAG
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
Covers practical implementations of advanced RAG patterns including multi-query retrieval, self-grading mechanisms, and agentic workflows that dynamically route between retrieval and generation. The notebooks demonstrate architectural approaches for query transformation, vector database indexing strategies, and reranking techniques, with specific implementations for both cloud-based (OpenAI) and local (LLAMA 3) model deployments using Langchain's agent framework.
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Apr 26, 2024
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