TheAiSingularity/graphrag-local-ollama

Health v2 · maintenance only

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Adoption not part of the score

1108 stars · 162 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A local adaptation of Microsoft's GraphRAG that runs LLM and embedding extraction entirely through Ollama models like llama3, mistral, gemma2, and phi3. It builds entity knowledge graphs from documents, generates community summaries, and offers a web UI with multiple query modes including Global, Local, DRIFT, Basic, and LazyGraphRAG.

Use cases

• run graphrag on local models without openai api costs
• build a knowledge graph from my documents with ollama
• answer global questions over a private text corpus
• visualize a knowledge graph of my documents in a browser
• index large text corpora cheaply with lazygraphrag
• query documents with drift search iterative reasoning

When to choose

• you want GraphRAG's knowledge-graph RAG without paying for OpenAI models
• you already run Ollama and want local LLM and embedding inference
• you need a web UI for indexing, querying, and graph visualization
• you want fast indexing via LazyGraphRAG or iterative DRIFT search

When to avoid

• you need the official, fully supported Microsoft GraphRAG implementation
• you have no GPU or hardware to run local models comfortably
• you want a managed cloud RAG service rather than self-hosted tooling
• your corpus is tiny and a simple vector RAG setup would suffice

Facets

application · maturity active

rag llm-inference agent-framework data-visualization search-engine large-language-models artificial-intelligence self-hosted python cli self-hosted cross-platform graphrag ollama knowledge-graph local-llm community-summarization drift-search embeddings retrieval-augmented-generation natural-language-processing web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="TheAiSingularity/graphrag-local-ollama")