Comparison
LightRAG vs PixelRAG
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 PixelRAG if pixelRAG is a Python-based tool that specializes in transforming PDFs into searchable image tiles, enabling efficient and scalable multimodal data retrieval.
Markdown twin · LightRAG alternatives · PixelRAG alternatives
GraphCanon updated Sep 20, 2026
17views this month
Trust & integrity
| Signal | LightRAG | PixelRAG |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Active (18d 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 published findings from this source as of 2026-07-11 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
- PixelRAG
- Scalable pixel-native search for multimodal data
Stars
- LightRAG
- 40k
- PixelRAG
- 9.6k
Forks
- LightRAG
- 5.6k
- PixelRAG
- 817
Open issues
- LightRAG
- 249
- PixelRAG
- 24
Language
- LightRAG
- Python
- PixelRAG
- 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.
- PixelRAG
- PixelRAG is a Python-based tool that specializes in transforming PDFs into searchable image tiles, enabling efficient and scalable multimodal data retrieval.
Persona
- LightRAG
- -
- PixelRAG
- -
Runtime
- LightRAG
- -
- PixelRAG
- -
License
- LightRAG
- MIT
- PixelRAG
- PixelRAG operates under an Apache 2.0 license, which allows for both commercial use and modification of the code.
Last pushed
- LightRAG
- Sep 18, 2026
- PixelRAG
- Jul 31, 2026
Categories
- LightRAG
- Data & Retrieval, Model Training
- PixelRAG
- Computer Vision, Data & Retrieval
Trust and health
Maintenance
- LightRAG
- Very active (96%)
- PixelRAG
- Active (82%)
Days since push
- LightRAG
- 0d
- PixelRAG
- 18d
Open issues (now)
- LightRAG
- 249
- PixelRAG
- 24
Stars delta
- LightRAG
- +848 (30d)
- PixelRAG
- +2.8k (30d)
Open issues delta
- LightRAG
- +22 (30d)
- PixelRAG
- +13 (30d)
OSV dependency advisories
- LightRAG
- No lockfile (source not queried)
- PixelRAG
- No published findings from this source as of 2026-07-11
Full report
- LightRAG
- Trust report
- PixelRAG
- Trust report
Typed relationship
Shared compatibility
- Python · LightRAG: Python runtime · PixelRAG: Python runtime
Choose LightRAG if…
- License: LightRAG is MIT, PixelRAG is Apache-2.0.
- PixelRAG and LightRAG both target the retrieval-augmented generation space, but PixelRAG specializes in leveraging visual data while LightRAG offers a simple and fast alternative for text-based RAG.
- Tags unique to LightRAG: docling, genai, gpt, graphrag.
- 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 PixelRAG if…
- License: PixelRAG is Apache-2.0, LightRAG is MIT.
- Pricing: The pricing information is not available from the current repository data..
- Requirements: Requires installation of 'poppler' to handle PDF files effectively. Use `pip install 'pixelrag[pdf]'` for complete setup..
- PixelRAG and LightRAG both target the retrieval-augmented generation space, but PixelRAG specializes in leveraging visual data while LightRAG offers a simple and fast alternative for text-based RAG.
- Tags unique to PixelRAG: multimodal, searchengine, vision, vlm.
- Also covers Computer Vision.
- When your application requires scalable pixel-native search capabilities for multimodal data, particularly from PDF documents
When NOT to use PixelRAG
- For tasks that do not require the conversion of textual or graphically rich content into searchable formats, as PixelRAG is PDF-centric and might not offer value in other data contexts
- If you are dealing exclusively with text-based search and your data format doesn't include substantial graphical elements; another tool might be more efficient
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 (StarTrail-org/PixelRAG) · observed Sep 20, 2026
- GitHub forks (StarTrail-org/PixelRAG) · observed Sep 20, 2026
- Last push (StarTrail-org/PixelRAG) · observed Jul 31, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LightRAG 40k · PixelRAG 9.6k (synced Sep 20, 2026).
Common questions
- What is the difference between LightRAG and PixelRAG?
- LightRAG: Simple and Fast Retrieval-Augmented Generation. PixelRAG: Scalable pixel-native search for multimodal data. See the comparison table for live GitHub stats and shared categories.
- When should I choose LightRAG over PixelRAG?
- Choose LightRAG over PixelRAG when License: LightRAG is MIT, PixelRAG is Apache-2.0; PixelRAG and LightRAG both target the retrieval-augmented generation space, but PixelRAG specializes in leveraging visual data while LightRAG offers a simple and fast alternative for text-based RAG; Tags unique to LightRAG: docling, genai, gpt, graphrag; 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 PixelRAG over LightRAG?
- Choose PixelRAG over LightRAG when License: PixelRAG is Apache-2.0, LightRAG is MIT; Pricing: The pricing information is not available from the current repository data.; Requirements: Requires installation of 'poppler' to handle PDF files effectively. Use
pip install 'pixelrag[pdf]'for complete setup.; PixelRAG and LightRAG both target the retrieval-augmented generation space, but PixelRAG specializes in leveraging visual data while LightRAG offers a simple and fast alternative for text-based RAG; Tags unique to PixelRAG: multimodal, searchengine, vision, vlm; Also covers Computer Vision; When your application requires scalable pixel-native search capabilities for multimodal data, particularly from PDF documents. - 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 PixelRAG?
- For tasks that do not require the conversion of textual or graphically rich content into searchable formats, as PixelRAG is PDF-centric and might not offer value in other data contexts If you are dealing exclusively with text-based search and your data format doesn't include substantial graphical elements; another tool might be more efficient
- Is LightRAG or PixelRAG more popular on GitHub?
- LightRAG has more GitHub stars (39,743 vs 9,586). Stars measure visibility, not whether either tool fits your constraints.
- Are LightRAG and PixelRAG open source?
- Yes - both are open-source projects on GitHub (LightRAG: MIT, PixelRAG: Apache-2.0).
- Where can I find alternatives to LightRAG or PixelRAG?
- GraphCanon lists graph-backed alternatives at LightRAG alternatives and PixelRAG alternatives (LightRAG markdown twin, PixelRAG 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 PixelRAG?
- LightRAG: Very active. PixelRAG: 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 PixelRAG?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LightRAG trust report; PixelRAG trust report.