Awesome-LLM-RAG is a curated list of retrieval-augmented generation techniques for large language models.
Awesome-LLM-RAG is a GitHub project aimed at collecting and organizing resources on retrieval-augmented generation (RAG) technology in large language models (LLM). This project is suitable for researchers, developers, and individuals interested in RAG technology, providing a series of papers, code repositories, and tools to help users better understand and apply RAG technology.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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