Comparison
LightRAG vs UltraRAG
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 UltraRAG if ultraRAG is a low-code framework for building retrieval-augmented generation pipelines with Python.
Markdown twin · LightRAG alternatives · UltraRAG alternatives
GraphCanon updated Sep 20, 2026
18views this month
Trust & integrity
| Signal | LightRAG | UltraRAG |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Aug 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 Aug 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 Jul 11, 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
- UltraRAG
- A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Stars
- LightRAG
- 40k
- UltraRAG
- 5.7k
Forks
- LightRAG
- 5.6k
- UltraRAG
- 437
Open issues
- LightRAG
- 249
- UltraRAG
- 18
Language
- LightRAG
- Python
- UltraRAG
- 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.
- 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
- Sep 18, 2026
- UltraRAG
- Aug 17, 2026
Categories
- LightRAG
- Data & Retrieval, Model Training
- UltraRAG
- Data & Retrieval, LLM Frameworks
Trust and health
Days since push
- LightRAG
- 0d
- UltraRAG
- 1d
Open issues (now)
- LightRAG
- 249
- UltraRAG
- 18
Stars delta
- LightRAG
- +848 (30d)
- UltraRAG
- +18 (30d)
Open issues delta
- LightRAG
- +22 (30d)
- UltraRAG
- -7 (30d)
Full report
- LightRAG
- Trust report
- UltraRAG
- Trust report
Typed relationship
LightRAG alternative UltraRAGUltraRAG and LightRAG both target simplified RAG pipeline creation but approach it differently, thus are alternatives.
Shared compatibility
- Python · LightRAG: Python runtime · UltraRAG: Python runtime
Choose LightRAG if…
- License: LightRAG is MIT, UltraRAG is Apache-2.0.
- UltraRAG and LightRAG both target simplified RAG pipeline creation but approach it differently, thus are alternatives.
- Tags unique to LightRAG: docling, genai, gpt, graphrag.
- Also covers Model Training.
- 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 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.
- Also covers LLM Frameworks.
- 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 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 (OpenBMB/UltraRAG) · observed Sep 20, 2026
- GitHub forks (OpenBMB/UltraRAG) · observed Sep 20, 2026
- Last push (OpenBMB/UltraRAG) · observed Aug 17, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LightRAG 40k · UltraRAG 5.7k (synced Sep 20, 2026).
Common questions
- What is the difference between LightRAG and UltraRAG?
- LightRAG: 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; UltraRAG and LightRAG both target simplified RAG pipeline creation but approach it differently, thus are alternatives; Tags unique to LightRAG: docling, genai, gpt, graphrag; Also covers Model Training; When you need a tool that prioritizes simplicity and speed in retrieval-augmented generation tasks.
- 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; Also covers LLM Frameworks; You require a straightforward setup with uv package manager or Docker support.
- 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 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 (39,743 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.