--- title: "Dot vs Langchain-Chatchat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alexpinel-dot-vs-chatchat-space-langchain-chatchat" tools: ["alexpinel-dot", "chatchat-space-langchain-chatchat"] --- # Dot vs Langchain-Chatchat *GraphCanon updated Sep 20, 2026* ## Verdict Pick Dot if local, JavaScript-based all-in-one solution for Text-To-Speech, RAG models, and working with LLMs; pick Langchain-Chatchat if langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama. [Dot](https://dotapp.uk/) reports 1.9k GitHub stars, 109 forks, and 14 open issues, last pushed Dec 9, 2024. [Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) has 39k stars, 6.3k forks, and 26 open issues, last pushed Nov 10, 2025. Figures are from public GitHub metadata via [Dot's repository](https://github.com/alexpinel/Dot) and [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat). | | [Dot](/tools/alexpinel-dot.md) | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | | --- | --- | --- | | Tagline | Text-To-Speech, RAG, and LLMs. All local! | Local knowledge-based LLM RAG and Agent app with Langchain | | Stars | 1,914 | 38,644 | | Forks | 109 | 6,265 | | Open issues | 14 | 26 | | Language | JavaScript | Python | | Adopt for | Local, JavaScript-based all-in-one solution for Text-To-Speech, RAG models, and working with LLMs | Langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | Apache-2.0 | | Categories | Data & Retrieval, LLM Frameworks, Speech & Audio | AI Agents, Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Dot](/tools/alexpinel-dot.md) | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 649d | 311d | | Open issues (now) | 14 | 26 | | Stars delta | +4 (30d) | +122 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/alexpinel-dot/trust.md) | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | ## Decision facts: Dot - **Adopt for:** Local, JavaScript-based all-in-one solution for Text-To-Speech, RAG models, and working with LLMs ## Decision facts: Langchain-Chatchat - **Adopt for:** Langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama. ## Choose when ### Choose Dot if… - Dot is primarily JavaScript; Langchain-Chatchat is Python. - License: Dot is GPL-3.0, Langchain-Chatchat is Apache-2.0. - Tags unique to Dot: document-chat, embeddings, 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 Langchain-Chatchat if… - Langchain-Chatchat is primarily Python; Dot is JavaScript. - License: Langchain-Chatchat is Apache-2.0, Dot is GPL-3.0. - Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt. - Also covers AI Agents. - When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama. ## 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 Langchain-Chatchat - If you are looking for a cloud-based solution that does not require local deployment and management. - When your project specifically requires a different set of language models that are not supported by Langchain-Chatchat, such as models that are not listed in its documentation. - If your use case does not benefit from the integration of RAG and Agent functionalities, and you are looking for a simpler chatbot solution. - When you need a solution that is tightly integrated with a specific cloud provider's services, as Langchain-Chatchat is designed for local deployment and may not offer the same level of integration. ## Common questions ### What is the difference between Dot and Langchain-Chatchat? Dot: Text-To-Speech, RAG, and LLMs. All local!. Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app with Langchain. See the comparison table for live GitHub stats and shared categories. ### When should I choose Dot over Langchain-Chatchat? Choose Dot over Langchain-Chatchat when Dot is primarily JavaScript; Langchain-Chatchat is Python; License: Dot is GPL-3.0, Langchain-Chatchat is Apache-2.0; Tags unique to Dot: document-chat, embeddings, 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 Langchain-Chatchat over Dot? Choose Langchain-Chatchat over Dot when Langchain-Chatchat is primarily Python; Dot is JavaScript; License: Langchain-Chatchat is Apache-2.0, Dot is GPL-3.0; Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt; Also covers AI Agents; When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama. ### 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 Langchain-Chatchat? If you are looking for a cloud-based solution that does not require local deployment and management. When your project specifically requires a different set of language models that are not supported by Langchain-Chatchat, such as models that are not listed in its documentation. If your use case does not benefit from the integration of RAG and Agent functionalities, and you are looking for a simpler chatbot solution. When you need a solution that is tightly integrated with a specific cloud provider's services, as Langchain-Chatchat is designed for local deployment and may not offer the same level of integration. ### Is Dot or Langchain-Chatchat more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,644 vs 1,914). Stars measure visibility, not whether either tool fits your constraints. ### Are Dot and Langchain-Chatchat open source? Yes - both are open-source projects on GitHub (Dot: GPL-3.0, Langchain-Chatchat: Apache-2.0). ### Where can I find alternatives to Dot or Langchain-Chatchat? GraphCanon lists graph-backed alternatives at [Dot alternatives](/tools/alexpinel-dot/alternatives) and [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) ([Dot markdown twin](/tools/alexpinel-dot/alternatives.md), [Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/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-chatchat-space-langchain-chatchat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Dot or Langchain-Chatchat? Dot: Dormant. Langchain-Chatchat: Slowing. 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 Langchain-Chatchat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Dot trust report](/tools/alexpinel-dot/trust); [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/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/_