RAG Frameworks
RAG FrameworksRetrieval-augmented generation frameworks, vector databases, and data tooling for knowledge-connected LLM apps.
Use caseNeeds verification
Tool · Needs verification
RAGFlow
Open-source RAG engine focused on document understanding and retrieval workflows.
ToolNeeds verificationOpen sourceSelf-hostedGitHub linked
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Tool fit
Primary repository
Mapped use cases
Self-Hosted AI Tools
Self Hosted AI ToolsOpen-source and locally controllable AI tools for builders who need privacy, portability, or reduced vendor lock-in.
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Related repositories
infiniflow/ragflow
PythonRAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
RepositoryAuto enrichedPythonApache-2.0High starsActive signal
Related skills
Data Ingestion
DataLoading, cleaning, chunking, and normalizing documents or structured data.
Role: Recommended
SkillNeeds verificationDataRequired
Evaluation
QualityTesting LLM quality, retrieval quality, task completion, and regression behavior.
Role: Recommended
SkillNeeds verificationQualityRecommended
Connecting LLMs to external knowledge with retrieval, ranking, and grounded responses.
Role: Recommended
SkillNeeds verificationAIRequired