Comparison
LightRAG vs graphrag
Verdict
Pick LightRAG if lightRAG is a retrieval-augmented generation tool that emphasizes simplicity and speed, ideal for efficient knowledge graph augmentation in large language models; pick graphrag if graphRAG is a research-oriented modular graph-based Retrieval-Augmented Generation system designed to enhance LLM outputs with structured data extracted from unstructured text.
Markdown twin · LightRAG alternatives · graphrag alternatives
GraphCanon updated Sep 20, 2026
15views this month
Trust & integrity
| Signal | LightRAG | graphrag |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- LightRAG
- Simple and Fast Retrieval-Augmented Generation
- graphrag
- A modular graph-based Retrieval-Augmented Generation (RAG) system
Stars
- LightRAG
- 40k
- graphrag
- 36k
Forks
- LightRAG
- 5.6k
- graphrag
- 3.8k
Open issues
- LightRAG
- 249
- graphrag
- 38
Language
- LightRAG
- Python
- graphrag
- Python
Adopt for
- LightRAG
- LightRAG is a retrieval-augmented generation tool that emphasizes simplicity and speed, ideal for efficient knowledge graph augmentation in large language models.
- graphrag
- GraphRAG is a research-oriented modular graph-based Retrieval-Augmented Generation system designed to enhance LLM outputs with structured data extracted from unstructured text.
Persona
- LightRAG
- -
- graphrag
- -
Runtime
- LightRAG
- -
- graphrag
- -
License
- LightRAG
- MIT
- graphrag
- MIT License
Last pushed
- LightRAG
- Sep 18, 2026
- graphrag
- Sep 16, 2026
Categories
- LightRAG
- Data & Retrieval, Model Training
- graphrag
- Data & Retrieval, LLM Frameworks
Trust and health
Days since push
- LightRAG
- 0d
- graphrag
- 1d
Open issues (now)
- LightRAG
- 249
- graphrag
- 38
Stars delta
- LightRAG
- +848 (30d)
- graphrag
- +506 (30d)
Open issues delta
- LightRAG
- +22 (30d)
- graphrag
- -8 (30d)
Full report
- LightRAG
- Trust report
- graphrag
- Trust report
Typed relationship
Choose LightRAG if…
- GraphRAG is a modular graph-based RAG system and LightRAG is also focused on RAG, indicating they both solve similar problems with potentially different approaches.
- Tags unique to LightRAG: docling, genai, knowledge-graph, large-language-models.
- Also covers Model Training.
- LightRAG ships Docker support for self-hosted deployment.
- When you need a tool that prioritizes simplicity and speed in retrieval-augmented generation tasks.
When NOT to use LightRAG
- If your project does not require efficient knowledge graph augmentation or if speed and simplicity are not primary concerns.
- When you prefer not to use uv for package management and are satisfied with traditional methods like pip.
- In scenarios where the installation of additional libraries such as libcairo2 for handling SVGs in markdown/textpack documents is not feasible or desired.
- If your deployment environment strictly prohibits the use of external package managers like uv.
Choose graphrag if…
- Pricing: Free to use under the MIT License, but users should be aware of potential costs associated with indexing operations..
- Requirements: Min 8 GB RAM; GraphRAG is a Python-based system and requires a Python environment.; Users should fine-tune their prompts for the best results..
- GraphRAG is a modular graph-based RAG system and LightRAG is also focused on RAG, indicating they both solve similar problems with potentially different approaches.
- Tags unique to graphrag: gpt-4, gpt4, llms, rag.
- Also covers LLM Frameworks.
- When you need to extract meaningful, structured data from unstructured text using the power of LLMs.
When NOT to use graphrag
- If you require a tool that is actively developed and accepts new features or contributions, as GraphRAG is largely in maintenance mode.
- When cost is a significant concern, as GraphRAG indexing can be an expensive operation.
- If you need a production-ready, officially supported solution, as GraphRAG is a research project and not an officially supported Microsoft offering.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (HKUDS/LightRAG) · observed Sep 20, 2026
- GitHub forks (HKUDS/LightRAG) · observed Sep 20, 2026
- Last push (HKUDS/LightRAG) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (microsoft/graphrag) · observed Sep 20, 2026
- GitHub forks (microsoft/graphrag) · observed Sep 20, 2026
- Last push (microsoft/graphrag) · observed Sep 16, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: LightRAG 40k · graphrag 36k (synced Sep 20, 2026).
Common questions
- What is the difference between LightRAG and graphrag?
- LightRAG: Simple and Fast Retrieval-Augmented Generation. graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system. See the comparison table for live GitHub stats and shared categories.
- When should I choose LightRAG over graphrag?
- Choose LightRAG over graphrag when GraphRAG is a modular graph-based RAG system and LightRAG is also focused on RAG, indicating they both solve similar problems with potentially different approaches; Tags unique to LightRAG: docling, genai, knowledge-graph, large-language-models; Also covers Model Training; LightRAG ships Docker support for self-hosted deployment; When you need a tool that prioritizes simplicity and speed in retrieval-augmented generation tasks.
- When should I choose graphrag over LightRAG?
- Choose graphrag over LightRAG when Pricing: Free to use under the MIT License, but users should be aware of potential costs associated with indexing operations.; Requirements: Min 8 GB RAM; GraphRAG is a Python-based system and requires a Python environment.; Users should fine-tune their prompts for the best results.; GraphRAG is a modular graph-based RAG system and LightRAG is also focused on RAG, indicating they both solve similar problems with potentially different approaches; Tags unique to graphrag: gpt-4, gpt4, llms, rag; Also covers LLM Frameworks; When you need to extract meaningful, structured data from unstructured text using the power of LLMs.
- When should I avoid LightRAG?
- If your project does not require efficient knowledge graph augmentation or if speed and simplicity are not primary concerns. When you prefer not to use uv for package management and are satisfied with traditional methods like pip. In scenarios where the installation of additional libraries such as libcairo2 for handling SVGs in markdown/textpack documents is not feasible or desired. If your deployment environment strictly prohibits the use of external package managers like uv.
- When should I avoid graphrag?
- If you require a tool that is actively developed and accepts new features or contributions, as GraphRAG is largely in maintenance mode. When cost is a significant concern, as GraphRAG indexing can be an expensive operation. If you need a production-ready, officially supported solution, as GraphRAG is a research project and not an officially supported Microsoft offering.
- Is LightRAG or graphrag more popular on GitHub?
- LightRAG has more GitHub stars (39,743 vs 36,025). Stars measure visibility, not whether either tool fits your constraints.
- Are LightRAG and graphrag open source?
- Yes - both are open-source projects on GitHub (LightRAG: MIT, graphrag: MIT).
- Where can I find alternatives to LightRAG or graphrag?
- GraphCanon lists graph-backed alternatives at LightRAG alternatives and graphrag alternatives (LightRAG markdown twin, graphrag markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, LightRAG or graphrag?
- LightRAG: Very active. graphrag: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for LightRAG and graphrag?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LightRAG trust report; graphrag trust report.