--- title: "graphrag vs PixelRAG" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-graphrag-vs-startrail-org-pixelrag" tools: ["microsoft-graphrag", "startrail-org-pixelrag"] --- # graphrag vs PixelRAG Neutral, constraint-first comparison with live GitHub stats. | | [graphrag](/tools/microsoft-graphrag.md) | [PixelRAG](/tools/startrail-org-pixelrag.md) | | --- | --- | --- | | Tagline | A modular graph-based Retrieval-Augmented Generation (RAG) system | Search any document by how it looks, not just the text it contains. | | Stars | 34,249 | 6,201 | | Forks | 3,621 | 495 | | Open issues | 158 | 31 | | Language | Python | Python | | Adopt for | GraphRAG offers a specialized graph-based approach to Retrieval-Augmented Generation (RAG) using the power of Large Language Models (LLMs) for enhancing unstructured data transformation and reasoning over private data. | 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, Model Training | Data & Retrieval, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [graphrag](/tools/microsoft-graphrag.md) | [PixelRAG](/tools/startrail-org-pixelrag.md) | | --- | --- | --- | | Days since push | 16d | 8d | | Open issues (now) | 158 | 31 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/microsoft-graphrag/trust.md) | [trust report](/tools/startrail-org-pixelrag/trust.md) | **Typed relationship:** graphrag _(alternative)_ PixelRAG PixelRAG could be seen as an alternative to graphRAG, focusing specifically on leveraging visual data versus GraphRAG's modular framework for building RAG systems. ## Decision facts: graphrag - **Pricing:** unknown - **Adopt for:** GraphRAG offers a specialized graph-based approach to Retrieval-Augmented Generation (RAG) using the power of Large Language Models (LLMs) for enhancing unstructured data transformation and reasoning over private data. ## 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 graphrag if… - License: graphrag is MIT, PixelRAG is Apache-2.0. - PixelRAG could be seen as an alternative to graphRAG, focusing specifically on leveraging visual data versus GraphRAG's modular framework for building RAG systems. - Tags unique to graphrag: llm, gpt-4, gpt, graph-based rag system. - Also covers Model Training. - - When you need to extract structured information from narrative or private data using LLMs and require a modular, graph-based system. - For projects that involve handling sensitive datasets where the ### Choose PixelRAG if… - License: PixelRAG is Apache-2.0, graphrag 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 could be seen as an alternative to graphRAG, focusing specifically on leveraging visual data versus GraphRAG's modular framework for building RAG systems. - 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 graphrag - - Avoid GraphRAG if your project requires minimal setup and cost since GraphRAG's indexing process can be resource-intensive. - - Not recommended for scenarios with extremely large datasets or when low latency is critical as this tool may pose significant computational demands. ## 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 graphrag and PixelRAG? graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system. 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 graphrag over PixelRAG? Choose graphrag over PixelRAG when License: graphrag is MIT, PixelRAG is Apache-2.0; PixelRAG could be seen as an alternative to graphRAG, focusing specifically on leveraging visual data versus GraphRAG's modular framework for building RAG systems; Tags unique to graphrag: llm, gpt-4, gpt, graph-based rag system; Also covers Model Training; - When you need to extract structured information from narrative or private data using LLMs and require a modular, graph-based system. - For projects that involve handling sensitive datasets where the. ### When should I choose PixelRAG over graphrag? Choose PixelRAG over graphrag when License: PixelRAG is Apache-2.0, graphrag 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 could be seen as an alternative to graphRAG, focusing specifically on leveraging visual data versus GraphRAG's modular framework for building RAG systems; 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 graphrag? - Avoid GraphRAG if your project requires minimal setup and cost since GraphRAG's indexing process can be resource-intensive. - Not recommended for scenarios with extremely large datasets or when low latency is critical as this tool may pose significant computational demands. ### 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 graphrag or PixelRAG more popular on GitHub? graphrag has more GitHub stars (34,249 vs 6,201). Stars measure visibility, not whether either tool fits your constraints. ### Are graphrag and PixelRAG open source? Yes - both are open-source projects on GitHub (graphrag: MIT, PixelRAG: Apache-2.0). ### Where can I find alternatives to graphrag or PixelRAG? GraphCanon lists graph-backed alternatives at /tools/microsoft-graphrag/alternatives and /tools/startrail-org-pixelrag/alternatives (/tools/microsoft-graphrag/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/microsoft-graphrag-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, graphrag or PixelRAG? graphrag: 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 graphrag and PixelRAG? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphrag: /tools/microsoft-graphrag/trust; PixelRAG: /tools/startrail-org-pixelrag/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-graphrag`](/api/graphcanon/graph?tool=microsoft-graphrag) - 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/_