RUC-NLPIR/FlashRAG
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
Provides modular components (retrievers, rerankers, generators, compressors) for building custom RAG pipelines, plus 36 pre-processed benchmark datasets and implementations of 23 SOTA algorithms including 7 reasoning-based methods that integrate language model reasoning with retrieval. Integrates acceleration tools like vLLM and Faiss, supports multimodal RAG with MLLMs (Llava, Qwen) and CLIP-based retrievers, and includes a visual UI for configuration and evaluation without code.
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Python
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Mar 01, 2026
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