--- title: "Dot vs graphrag-rs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alexpinel-dot-vs-automataia-graphrag-rs" tools: ["alexpinel-dot", "automataia-graphrag-rs"] --- # Dot vs graphrag-rs *GraphCanon updated Aug 23, 2026* ## Verdict Pick Dot if local, JavaScript-based all-in-one solution for Text-To-Speech, RAG models, and working with LLMs; pick graphrag-rs if graphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust. [Dot](https://dotapp.uk/) reports 1.9k GitHub stars, 110 forks, and 14 open issues, last pushed Dec 9, 2024. [graphrag-rs](https://automataia.github.io/graphrag-rs/) has 526 stars, 50 forks, and 0 open issues, last pushed Jun 2, 2026. Figures are from public GitHub metadata via [Dot's repository](https://github.com/alexpinel/Dot) and [graphrag-rs's repository](https://github.com/automataIA/graphrag-rs). | | [Dot](/tools/alexpinel-dot.md) | [graphrag-rs](/tools/automataia-graphrag-rs.md) | | --- | --- | --- | | Tagline | Text-To-Speech, RAG, and LLMs. All local! | GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration. | | Stars | 1,911 | 526 | | Forks | 110 | 50 | | Open issues | 14 | 0 | | Language | JavaScript | Rust | | Adopt for | Local, JavaScript-based all-in-one solution for Text-To-Speech, RAG models, and working with LLMs | GraphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | MIT | | Categories | Data & Retrieval, LLM Frameworks, Speech & Audio | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Dot](/tools/alexpinel-dot.md) | [graphrag-rs](/tools/automataia-graphrag-rs.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 620d | 81d | | Open issues (now) | 14 | 0 | | Stars delta | +1 (30d) | +4 (30d) | | Full report | [trust report](/tools/alexpinel-dot/trust.md) | [trust report](/tools/automataia-graphrag-rs/trust.md) | ## Shared compatibility - **Node.js**: [Dot](/tools/alexpinel-dot.md) - Node.js runtime; [graphrag-rs](/tools/automataia-graphrag-rs.md) - Node.js runtime ## Decision facts: Dot - **Adopt for:** Local, JavaScript-based all-in-one solution for Text-To-Speech, RAG models, and working with LLMs ## Decision facts: graphrag-rs - **Adopt for:** GraphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust. ## Choose when ### Choose Dot if… - Dot is primarily JavaScript; graphrag-rs is Rust. - License: Dot is GPL-3.0, graphrag-rs is MIT. - Tags unique to Dot: document-chat, faiss, langchain, llamacpp. - Also covers Speech & Audio. - When you are working in a local environment and have projects that require Text-To-Speech capabilities along with RAG and LLM functionalities. ### Choose graphrag-rs if… - graphrag-rs is primarily Rust; Dot is JavaScript. - License: graphrag-rs is MIT, Dot is GPL-3.0. - Tags unique to graphrag-rs: ai, entity-extraction, graphrag, knowledge-graph. - Need Rust-based implementation for integration into existing Rust projects ## When NOT to use Dot - If your team does not have proficiency in JavaScript or the requirement is to use a language other than JavaScript for development purposes. - When the need arises for cloud-based services that provide more scalable and maintainable infrastructure, as Dot works strictly in a local environment. - For organizations that require real-time speech processing at scale without self-hosting capabilities where reliability and continuous availability are paramount. ## When NOT to use graphrag-rs - Seeking solutions that offer cloud-hosted machine learning services directly - Projects that demand Python libraries due to ecosystem dependencies ## Common questions ### What is the difference between Dot and graphrag-rs? Dot: Text-To-Speech, RAG, and LLMs. All local!. graphrag-rs: GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Dot over graphrag-rs? Choose Dot over graphrag-rs when Dot is primarily JavaScript; graphrag-rs is Rust; License: Dot is GPL-3.0, graphrag-rs is MIT; Tags unique to Dot: document-chat, faiss, langchain, llamacpp; Also covers Speech & Audio; When you are working in a local environment and have projects that require Text-To-Speech capabilities along with RAG and LLM functionalities. ### When should I choose graphrag-rs over Dot? Choose graphrag-rs over Dot when graphrag-rs is primarily Rust; Dot is JavaScript; License: graphrag-rs is MIT, Dot is GPL-3.0; Tags unique to graphrag-rs: ai, entity-extraction, graphrag, knowledge-graph; Need Rust-based implementation for integration into existing Rust projects. ### When should I avoid Dot? If your team does not have proficiency in JavaScript or the requirement is to use a language other than JavaScript for development purposes. When the need arises for cloud-based services that provide more scalable and maintainable infrastructure, as Dot works strictly in a local environment. For organizations that require real-time speech processing at scale without self-hosting capabilities where reliability and continuous availability are paramount. ### When should I avoid graphrag-rs? Seeking solutions that offer cloud-hosted machine learning services directly Projects that demand Python libraries due to ecosystem dependencies ### Is Dot or graphrag-rs more popular on GitHub? Dot has more GitHub stars (1,911 vs 526). Stars measure visibility, not whether either tool fits your constraints. ### Are Dot and graphrag-rs open source? Yes - both are open-source projects on GitHub (Dot: GPL-3.0, graphrag-rs: MIT). ### Where can I find alternatives to Dot or graphrag-rs? GraphCanon lists graph-backed alternatives at [Dot alternatives](/tools/alexpinel-dot/alternatives) and [graphrag-rs alternatives](/tools/automataia-graphrag-rs/alternatives) ([Dot markdown twin](/tools/alexpinel-dot/alternatives.md), [graphrag-rs markdown twin](/tools/automataia-graphrag-rs/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 [this comparison](/compare/alexpinel-dot-vs-automataia-graphrag-rs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Dot or graphrag-rs? Dot: Dormant. graphrag-rs: Steady. 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 Dot and graphrag-rs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Dot trust report](/tools/alexpinel-dot/trust); [graphrag-rs trust report](/tools/automataia-graphrag-rs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alexpinel-dot`](/api/graphcanon/graph?tool=alexpinel-dot) - 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/_