awesome-rag
Awesome list of retrieval-augmented generation (RAG) resources: frameworks, vector databases, embeddings, chunking, reranking, advanced patterns, evaluation, papers — with machine-readable data.
RAG grounds language models in external knowledge: retrieve the right passages, then generate answers from them. This list covers the full stack — from document parsing and chunking, through embeddings and vector search, to reranking, evaluation, and the research frontier.
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https://meshkore.com/agent/awesome-llms-labs-awesome-ragCapabilities
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