HKUDS/RAG-Anything
rag-anything
"RAG-Anything: All-in-One RAG Framework"
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HKUDS
HKUDS • individual
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14,907
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1,792
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Created
Jun 6, 2025
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README Summary
RAG-Anything is a comprehensive all-in-one framework for Retrieval-Augmented Generation (RAG) applications. It provides a unified solution for building RAG systems with support for various data sources, retrieval methods, and generation models. The framework aims to simplify the development and deployment of RAG-based applications across different domains and use cases.
AI Dev Skills
Unmapped
Retrieval-Augmented GenerationDocument ProcessingVector EmbeddingsLarge Language Model IntegrationVector Database ManagementInformation RetrievalNatural Language ProcessingDocument Chunking and Indexing
Tags
Retrieval-Augmented GenerationDocument ProcessingVector EmbeddingsLarge Language Model IntegrationVector Database ManagementInformation RetrievalNatural Language ProcessingDocument Chunking and IndexingInformation ExtractionKnowledge-Enhanced AIResearch & DevelopmentInformation SynthesisCompound AI SystemsMultimodalKnowledge Base QueryImageTextSelf-hostedContent-aware ChatbotsDocument EmbeddingMulti-modal Information RetrievalVector Database IntegrationHealthcareSemantic SearchMultimodal ReasoningLegal TechResearch Paper AnalysisDocument ManagementMulti-modal Content SearchKnowledge ManagementDocument Question AnsweringOn-premiseEducationCloud APIPython
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Recent Activity
Updated 1 months ago
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Quality
prototype- Quality
- medium
- Maturity
- prototype
Categories
Edge & Mobile AIPrimarySearch & KnowledgeOther AI / MLDev Tools & AutomationLearning ResourcesRAG & RetrievalNLP & TextHealthcare & BiologyFinance & LegalMultimodal AIEvals & BenchmarkingFoundation Models
PM Skills
Developer Platform
Languages
Python100.0%
Timeline
- Project created
- Jun 6, 2025
- Forked
- Mar 16, 2026
- Your last push
- 1 months ago
- Upstream last push
- 20 days ago
- Tracked since
- Mar 13, 2026
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