Comparison
LightRAG vs UltraRAG
Verdict
Pick LightRAG if lightRAG is a framework designed for efficient retrieval-augmented generation methods, focusing on enhancing the performance of large language models with additional knowledge; pick UltraRAG if ultraRAG is a low-code framework for building retrieval-augmented generation pipelines with Python.
Markdown twin · LightRAG alternatives · UltraRAG alternatives
GraphCanon updated 4d
Trust & integrity
| Signal | LightRAG | UltraRAG |
|---|---|---|
| Maintenance | Very active (0d since push) As of 6d · github_public_v1 | Very active (1d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- [EMNLP2025] Simple and Fast Retrieval-Augmented Generation
- UltraRAG
- A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Stars
- LightRAG
- 39k
- UltraRAG
- 5.7k
Forks
- LightRAG
- 5.5k
- UltraRAG
- 437
Open issues
- LightRAG
- 227
- UltraRAG
- 18
Language
- LightRAG
- Python
- UltraRAG
- Python
Adopt for
- LightRAG
- LightRAG is a framework designed for efficient retrieval-augmented generation methods, focusing on enhancing the performance of large language models with additional knowledge.
- UltraRAG
- UltraRAG is a low-code framework for building retrieval-augmented generation pipelines with Python.
Persona
- LightRAG
- -
- UltraRAG
- -
Runtime
- LightRAG
- -
- UltraRAG
- -
License
- LightRAG
- MIT
- UltraRAG
- Apache-2.0 license provides freedom with conditions for use, modification, and distribution.
Last pushed
- LightRAG
- Aug 16, 2026
- UltraRAG
- Aug 17, 2026
Categories
- LightRAG
- Data & Retrieval, LLM Frameworks
- UltraRAG
- Data & Retrieval, LLM Frameworks
Trust and health
Days since push
- LightRAG
- 0d
- UltraRAG
- 1d
Open issues (now)
- LightRAG
- 227
- UltraRAG
- 18
Stars delta
- LightRAG
- +1.2k (30d)
- UltraRAG
- +18 (30d)
Open issues delta
- LightRAG
- +4 (30d)
- UltraRAG
- -7 (30d)
Full report
- LightRAG
- Trust report
- UltraRAG
- Trust report
Typed relationship
Shared compatibility
- Python · LightRAG: Python runtime · UltraRAG: Python runtime
Choose LightRAG if…
- License: LightRAG is MIT, UltraRAG is Apache-2.0.
- Pricing: LightRAG is available under the MIT license and is free to use. Potential paid services or premium features may exist outside of this repository..
- Requirements: Min 4 GB RAM; Requires Python environment compatible with the version supported by LightRAG.; External datasets and relevant APIs may be required for full functionality..
- UltraRAG and LightRAG both target simplified RAG pipeline creation but approach it differently, thus are alternatives.
- Tags unique to LightRAG: genai, gpt, knowledge-graph, rag.
- - When you need quick integration of external data sources to enrich your model outputs.
When NOT to use LightRAG
- - If you require a more complex framework offering advanced customization options, LightRAG’s core focus on simplicity might not meet your needs.
- - When the nature of your application demands real-time responses without room for the additional latency that might come with retrieval processes, despite being advertised as quick.
Choose UltraRAG if…
- License: UltraRAG is Apache-2.0, LightRAG is MIT.
- UltraRAG and LightRAG both target simplified RAG pipeline creation but approach it differently, thus are alternatives.
- Tags unique to UltraRAG: deepseek, demo, easy, embedding.
- You require a straightforward setup with uv package manager or Docker support
When NOT to use UltraRAG
- Prefer tools that do not rely on specific package managers like uv
- Require more customization in pipeline creation beyond what low-code environments offer
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 Aug 16, 2026
- GitHub forks (HKUDS/LightRAG) · observed Aug 16, 2026
- Last push (HKUDS/LightRAG) · observed Aug 16, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (OpenBMB/UltraRAG) · observed Aug 18, 2026
- GitHub forks (OpenBMB/UltraRAG) · observed Aug 18, 2026
- Last push (OpenBMB/UltraRAG) · observed Aug 17, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LightRAG 39k · UltraRAG 5.7k (synced Aug 16, 2026).
Common questions
- What is the difference between LightRAG and UltraRAG?
- LightRAG: [EMNLP2025] Simple and Fast Retrieval-Augmented Generation. UltraRAG: A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines. See the comparison table for live GitHub stats and shared categories.
- When should I choose LightRAG over UltraRAG?
- Choose LightRAG over UltraRAG when License: LightRAG is MIT, UltraRAG is Apache-2.0; Pricing: LightRAG is available under the MIT license and is free to use. Potential paid services or premium features may exist outside of this repository.; Requirements: Min 4 GB RAM; Requires Python environment compatible with the version supported by LightRAG.; External datasets and relevant APIs may be required for full functionality.; UltraRAG and LightRAG both target simplified RAG pipeline creation but approach it differently, thus are alternatives; Tags unique to LightRAG: genai, gpt, knowledge-graph, rag; - When you need quick integration of external data sources to enrich your model outputs.
- When should I choose UltraRAG over LightRAG?
- Choose UltraRAG over LightRAG when License: UltraRAG is Apache-2.0, LightRAG is MIT; UltraRAG and LightRAG both target simplified RAG pipeline creation but approach it differently, thus are alternatives; Tags unique to UltraRAG: deepseek, demo, easy, embedding; You require a straightforward setup with uv package manager or Docker support.
- When should I avoid LightRAG?
- - If you require a more complex framework offering advanced customization options, LightRAG’s core focus on simplicity might not meet your needs. - When the nature of your application demands real-time responses without room for the additional latency that might come with retrieval processes, despite being advertised as quick.
- When should I avoid UltraRAG?
- Prefer tools that do not rely on specific package managers like uv Require more customization in pipeline creation beyond what low-code environments offer
- Is LightRAG or UltraRAG more popular on GitHub?
- LightRAG has more GitHub stars (38,895 vs 5,670). Stars measure visibility, not whether either tool fits your constraints.
- Are LightRAG and UltraRAG open source?
- Yes - both are open-source projects on GitHub (LightRAG: MIT, UltraRAG: Apache-2.0).
- Where can I find alternatives to LightRAG or UltraRAG?
- GraphCanon lists graph-backed alternatives at LightRAG alternatives and UltraRAG alternatives (LightRAG markdown twin, UltraRAG 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 UltraRAG?
- LightRAG: Very active. UltraRAG: 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 UltraRAG?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LightRAG trust report; UltraRAG trust report.