HKUDS/MiniRAG
MiniRAG
"MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
Builder
HKUDS
HKUDS • individual
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1,824
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240
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0/100
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Created
Jan 11, 2025
Project creation date
README Summary
MiniRAG is a framework that makes Retrieval-Augmented Generation (RAG) systems more accessible by using small, open-source language models instead of large proprietary ones. It provides tools and methods for building efficient RAG applications that can run on resource-constrained environments while maintaining good performance.
AI Dev Skills
Unmapped
Retrieval-Augmented GenerationSmall Language ModelsInformation RetrievalVector EmbeddingsKnowledge Base ConstructionModel OptimizationOpen Source LLM IntegrationRAG Pipeline Engineering
Tags
Retrieval-Augmented GenerationSmall Language ModelsInformation RetrievalVector EmbeddingsKnowledge Base ConstructionModel OptimizationOpen Source LLM IntegrationRAG Pipeline Engineering
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AI Trends
Deployment Context
Modalities
Skill Areas
Recent Activity
Updated 5 months ago
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Quality
research- Quality
- medium
- Maturity
- research
Categories
Dev Tools & AutomationPrimaryInference & ServingML Platform & InfrastructureEdge & Mobile AISearch & KnowledgeFoundation ModelsRAG & RetrievalEvals & Benchmarking
PM Skills
Developer Platform
Languages
Python100.0%
Timeline
- Project created
- Jan 11, 2025
- Forked
- Mar 29, 2026
- Your last push
- 5 months ago
- Upstream last push
- 5 months ago
- Tracked since
- Oct 16, 2025
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