--- title: "LightRAG vs PixelRAG" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hkuds-lightrag-vs-startrail-org-pixelrag" tools: ["hkuds-lightrag", "startrail-org-pixelrag"] --- # LightRAG vs PixelRAG Neutral, constraint-first comparison with live GitHub stats. | | [LightRAG](/tools/hkuds-lightrag.md) | [PixelRAG](/tools/startrail-org-pixelrag.md) | | --- | --- | --- | | Tagline | Simple and Fast Retrieval-Augmented Generation | Search any document by how it looks, not just the text it contains. | | Stars | 37,451 | 6,201 | | Forks | 5,276 | 495 | | Open issues | 228 | 31 | | Language | Python | Python | | Adopt for | LightRAG is a Python library licensed under the MIT License, designed to offer efficient retrieval-augmented generation capabilities for enhancing large language model performance in genAI applications. | Facilitates scalable visual retrieval from documents by converting pages into visual indices for search based on appearance. | | Persona | - | - | | Runtime | - | - | | License | MIT | PixelRAG is available under an Apache-2.0 license. | | Categories | Data & Retrieval, LLM Frameworks | Data & Retrieval, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LightRAG](/tools/hkuds-lightrag.md) | [PixelRAG](/tools/startrail-org-pixelrag.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 8d | | Open issues (now) | 228 | 31 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/hkuds-lightrag/trust.md) | [trust report](/tools/startrail-org-pixelrag/trust.md) | **Typed relationship:** LightRAG _(alternative)_ PixelRAG 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. ## Shared compatibility - **Python**: [LightRAG](/tools/hkuds-lightrag.md) - Python runtime; [PixelRAG](/tools/startrail-org-pixelrag.md) - Python runtime ## Decision facts: LightRAG - **Adopt for:** LightRAG is a Python library licensed under the MIT License, designed to offer efficient retrieval-augmented generation capabilities for enhancing large language model performance in genAI applications. ## Decision facts: PixelRAG - **Pricing:** unknown - Details about specific pricing were not provided in the repository data. - **Requirements:** Install PixelRAG using `pip install pixelrag`.; To use, no setup is needed for querying the live API endpoint that serves a pre-built index of 8.28M Wikipedia pages. - **Adopt for:** Facilitates scalable visual retrieval from documents by converting pages into visual indices for search based on appearance. - **License detail:** PixelRAG is available under an Apache-2.0 license. ## Choose when ### 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: genai, llm, large-language-models, retrieval-augmented-generation. - Also covers LLM Frameworks. - LightRAG ships Docker support for self-hosted deployment. - When you need quick integration of retrieval-augmented generation into your existing projects without complex setup. LightRAG is built for simplicity and speed which makes it ideal when rapid protypng ### Choose PixelRAG if… - License: PixelRAG is Apache-2.0, LightRAG is MIT. - Pricing: Details about specific pricing were not provided in the repository data.. - Requirements: Install PixelRAG using `pip install pixelrag`.; To use, no setup is needed for querying the live API endpoint that serves a pre-built index of 8.28M Wikipedia pages.. - 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: pixel-native search, visual search, vision, vmr. - Also covers Computer Vision. - When you need to perform searches over document collections with strong visual components such as tables, charts, and infographics. ## When NOT to use LightRAG - When you require highly complex and specialized configurations for your retrieval-augmented tasks, as LightRAG emphasizes simplicity over extensive customization. - In scenarios where strict control over every aspect of the retrieval process is necessary. Advanced customization options are limited compared to some competitors. - For projects with a small dataset or simple tasks that do not benefit significantly from RAG capabilities; LightRAG’s advantages may be underutilized. ## When NOT to use PixelRAG - If your use case primarily relies on accurate text-based search and retrieval, as PixelRAG focuses more on the appearance of documents rather than their textual content. - When working with unstructured data that doesn't contain visuals such as tables, charts or images where HTML parsing would suffice. ## Common questions ### What is the difference between LightRAG and PixelRAG? LightRAG: Simple and Fast Retrieval-Augmented Generation. PixelRAG: Search any document by how it looks, not just the text it contains.. 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: genai, llm, large-language-models, retrieval-augmented-generation; Also covers LLM Frameworks; LightRAG ships Docker support for self-hosted deployment; When you need quick integration of retrieval-augmented generation into your existing projects without complex setup. LightRAG is built for simplicity and speed which makes it ideal when rapid protypng. ### When should I choose PixelRAG over LightRAG? Choose PixelRAG over LightRAG when License: PixelRAG is Apache-2.0, LightRAG is MIT; Pricing: Details about specific pricing were not provided in the repository data.; Requirements: Install PixelRAG using `pip install pixelrag`.; To use, no setup is needed for querying the live API endpoint that serves a pre-built index of 8.28M Wikipedia pages.; 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: pixel-native search, visual search, vision, vmr; Also covers Computer Vision; When you need to perform searches over document collections with strong visual components such as tables, charts, and infographics. ### When should I avoid LightRAG? When you require highly complex and specialized configurations for your retrieval-augmented tasks, as LightRAG emphasizes simplicity over extensive customization. In scenarios where strict control over every aspect of the retrieval process is necessary. Advanced customization options are limited compared to some competitors. For projects with a small dataset or simple tasks that do not benefit significantly from RAG capabilities; LightRAG’s advantages may be underutilized. ### When should I avoid PixelRAG? If your use case primarily relies on accurate text-based search and retrieval, as PixelRAG focuses more on the appearance of documents rather than their textual content. When working with unstructured data that doesn't contain visuals such as tables, charts or images where HTML parsing would suffice. ### Is LightRAG or PixelRAG more popular on GitHub? LightRAG has more GitHub stars (37,451 vs 6,201). 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 /tools/hkuds-lightrag/alternatives and /tools/startrail-org-pixelrag/alternatives (/tools/hkuds-lightrag/alternatives.md, /tools/startrail-org-pixelrag/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/hkuds-lightrag-vs-startrail-org-pixelrag.md 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: /tools/hkuds-lightrag/trust; PixelRAG: /tools/startrail-org-pixelrag/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hkuds-lightrag`](/api/graphcanon/graph?tool=hkuds-lightrag) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_