Library/FlashRAG
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RUC-NLPIR/FlashRAG

FlashRAG

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

Builder

RUC-NLPIR

RUC-NLPIR

RUC-NLPIR • individual

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3,434

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Forks

300

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Activity Score

0/100

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Created

Mar 14, 2024

Project creation date

README Summary

FlashRAG is a Python toolkit designed to streamline and accelerate Retrieval-Augmented Generation (RAG) research by providing modular components, standardized evaluation pipelines, and support for multiple retrieval and generation methods. It serves researchers and developers working on RAG systems by offering pre-built modules for retrieval, reranking, and generation that can be easily combined and customized.

AI Dev Skills

Unmapped

Retrieval-Augmented GenerationInformation RetrievalDense Vector RetrievalSparse Retrieval MethodsNeural RerankingLarge Language Model IntegrationEmbedding ModelsKnowledge Base ConstructionQuery ProcessingEvaluation Metrics for RAG SystemsMulti-stage Retrieval PipelinesDocument Indexing and Search

Tags

Retrieval-Augmented GenerationInformation RetrievalDense Vector RetrievalSparse Retrieval MethodsNeural RerankingLarge Language Model IntegrationEmbedding ModelsKnowledge Base ConstructionQuery ProcessingEvaluation Metrics for RAG SystemsMulti-stage Retrieval PipelinesDocument Indexing and Search

Taxonomy

Recent Activity

Updated 1 months ago

7 Days

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30 Days

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90 Days

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Quality

research
Quality
high
Maturity
research

Categories

Search & KnowledgePrimaryDev Tools & AutomationFoundation ModelsRAG & RetrievalEvals & BenchmarkingML Platform & InfrastructureEdge & Mobile AI

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created
Mar 14, 2024
Forked
Mar 29, 2026
Your last push
1 months ago
Upstream last push
1 months ago
Tracked since
Mar 1, 2026

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