Poll-The-People/awesome-rag
awesome-rag: a collection of awesome thing related to Retrieval-Augmented Generation
Curated resource directory spanning 20+ categories: open-source frameworks (LangChain, LlamaIndex, Haystack), vector databases, embedding models, research papers, retrieval techniques (dense/sparse/hybrid), and evaluation benchmarks. Covers emerging approaches including graph-based RAG, multimodal retrieval, and knowledge-graph integration alongside foundational concepts like chunking strategies, prompt optimization, and hallucination mitigation. Includes vendor tools, SDKs across Python/JavaScript/JVM/Rust ecosystems, educational content, and 2024-2025 trend tracking for production RAG deployment.
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Jul 14, 2025
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