OpenSPG/KAG

Health v2 · maintenance only

Adoption not part of the score

9018 stars · 709 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

KAG (Knowledge Augmented Generation) is a Python framework built on the OpenSPG engine and large language models for logical form-guided reasoning and retrieval over domain knowledge bases. It combines knowledge graphs with mutual indexing of knowledge and text chunks to support logical reasoning and multi-hop factual Q&A, overcoming the ambiguity of vector-similarity RAG and the noise of OpenIE-based GraphRAG.

Use cases

• build a factual Q&A assistant over a professional domain knowledge base
• answer multi-hop questions requiring logical reasoning across documents
• reduce hallucinations compared to vector-similarity RAG
• construct a schema-constrained knowledge graph from unstructured and structured data
• replace or augment GraphRAG pipelines with semantic reasoning alignment
• query private enterprise knowledge bases with trustworthy, cited answers

When to choose

• you need multi-hop or logical reasoning Q&A rather than simple semantic retrieval
• your domain benefits from a structured knowledge graph with schema constraints
• you want to combine unstructured documents, structured data, and expert knowledge in one reasoning framework
• you need higher factual accuracy than vanilla vector RAG or OpenIE-based GraphRAG

When to avoid

• you need a simple plug-and-play RAG pipeline with minimal setup
• your corpus is small and vector search already gives sufficient accuracy
• you cannot invest in schema design and knowledge graph construction
• you need a managed cloud service rather than a self-hosted framework

Facets

framework · maturity active

rag search-engine nlp llm-inference agent-framework large-language-models artificial-intelligence databases python self-hosted cross-platform knowledge-graph logical-reasoning multi-hop-question-answering openspg knowledge-augmented-generation graphrag retrieval-augmented-generation natural-language-processing docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="OpenSPG/KAG")