graphrag-rs
GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
GraphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust.
Good fit when
- Need Rust-based implementation for integration into existing Rust projects
- Require state-of-the-art GraphRAG performance for document to graph conversion
Avoid when
- Seeking solutions that offer cloud-hosted machine learning services directly
- Projects that demand Python libraries due to ecosystem dependencies
Observed Jul 15, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (109d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add graphrag-rsSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Rust implementation of GraphRAG that constructs knowledge graphs from documents, supporting natural language queries through configurable entity extraction and local LLM integration.
Capability facts
- Languages
- rust
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
- **Node.js 18+** (for WASM builds)Source link
Tags
README
30 Second Quick Start CLI (no config file needed): Add to either command for LLM quality entity extraction (requires running locally). Library (Rust): Both flows use sensible defaults — hash fallback embeddings, pattern based entity extraction, persistent workspace. Opt into Olla...
For agents
This page has a .md twin and JSON over the API.