--- title: "Langchain-Chatchat vs UltraRAG" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chatchat-space-langchain-chatchat-vs-openbmb-ultrarag" tools: ["chatchat-space-langchain-chatchat", "openbmb-ultrarag"] --- # Langchain-Chatchat vs UltraRAG Neutral, constraint-first comparison with live GitHub stats. | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [UltraRAG](/tools/openbmb-ultrarag.md) | | --- | --- | --- | | Tagline | Local knowledge-based LLM RAG and Agent app | Less Code, Lower Barrier, Faster Deployment | | Stars | 38,268 | 5,634 | | Forks | 6,218 | 434 | | Open issues | 23 | 24 | | Language | Python | Python | | Adopt for | Langchain-Chatchat is an open-source, local application framework designed for RAG and AI agent applications using a variety of language models such as ChatGLM, Qwen, and Llama. It supports multiple deployment methods,离线 | is a low-code MCP (Multimodal Content Processing) framework designed to expedite the deployment of RAG (Retrieval-Augmented Generation) systems with deep integration capabilities. It supports multiple AI/ | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Evaluation & Observability, LLM Frameworks | LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [UltraRAG](/tools/openbmb-ultrarag.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 239d | 2d | | Open issues (now) | 23 | 24 | | Security scan | No lockfile | Not scanned | | Full report | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | [trust report](/tools/openbmb-ultrarag/trust.md) | **Typed relationship:** Langchain-Chatchat _(integrates with)_ UltraRAG ## Decision facts: Langchain-Chatchat - **Adopt for:** Langchain-Chatchat is an open-source, local application framework designed for RAG and AI agent applications using a variety of language models such as ChatGLM, Qwen, and Llama. It supports multiple deployment methods,离线 ## Decision facts: UltraRAG - **Adopt for:** is a low-code MCP (Multimodal Content Processing) framework designed to expedite the deployment of RAG (Retrieval-Augmented Generation) systems with deep integration capabilities. It supports multiple AI/ ## Choose when ### Choose Langchain-Chatchat if… - Graph edge: Langchain-Chatchat is a typed integrates with of UltraRAG - see the relationship row above. - Tags unique to Langchain-Chatchat: chatchat, chatglm, knowledge-base, langchain. - Also covers Evaluation & Observability. - - Use Langchain-Chatchat when you need to deploy a knowledge-based chatbot that leverages local, open-source models. ### Choose UltraRAG if… - Graph edge: UltraRAG is a typed integrates with of Langchain-Chatchat - see the relationship row above. - Tags unique to UltraRAG: easy, deepseek, llm, flask. - Also covers Inference & Serving. - UltraRAG ships Docker support for self-hosted deployment. - * When you need to build complex and innovative RAG pipelines quickly and with little code. ## When NOT to use Langchain-Chatchat - - Do not use Langchain-Chatchat when your application requires direct support for the latest commercial language models which are only accessible via API without open source. - - Refrain from using this tool if you need continuous real-time data updates or depend on cloud-based services that require internet connectivity. ## When NOT to use UltraRAG - * When a tool that requires extensive customization at the code level is necessary. - * If your project does not benefit from pre-built integrations and instead needs unique, tailor-made solutions. ## Common questions ### What is the difference between Langchain-Chatchat and UltraRAG? Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app. UltraRAG: Less Code, Lower Barrier, Faster Deployment. See the comparison table for live GitHub stats and shared categories. ### When should I choose Langchain-Chatchat over UltraRAG? Choose Langchain-Chatchat over UltraRAG when Graph edge: Langchain-Chatchat is a typed integrates with of UltraRAG - see the relationship row above; Tags unique to Langchain-Chatchat: chatchat, chatglm, knowledge-base, langchain; Also covers Evaluation & Observability; - Use Langchain-Chatchat when you need to deploy a knowledge-based chatbot that leverages local, open-source models. ### When should I choose UltraRAG over Langchain-Chatchat? Choose UltraRAG over Langchain-Chatchat when Graph edge: UltraRAG is a typed integrates with of Langchain-Chatchat - see the relationship row above; Tags unique to UltraRAG: easy, deepseek, llm, flask; Also covers Inference & Serving; UltraRAG ships Docker support for self-hosted deployment; * When you need to build complex and innovative RAG pipelines quickly and with little code. ### When should I avoid Langchain-Chatchat? - Do not use Langchain-Chatchat when your application requires direct support for the latest commercial language models which are only accessible via API without open source. - Refrain from using this tool if you need continuous real-time data updates or depend on cloud-based services that require internet connectivity. ### When should I avoid UltraRAG? * When a tool that requires extensive customization at the code level is necessary. * If your project does not benefit from pre-built integrations and instead needs unique, tailor-made solutions. ### Is Langchain-Chatchat or UltraRAG more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,268 vs 5,634). Stars measure visibility, not whether either tool fits your constraints. ### Are Langchain-Chatchat and UltraRAG open source? Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, UltraRAG: Apache-2.0). ### Where can I find alternatives to Langchain-Chatchat or UltraRAG? GraphCanon lists graph-backed alternatives at /tools/chatchat-space-langchain-chatchat/alternatives and /tools/openbmb-ultrarag/alternatives (/tools/chatchat-space-langchain-chatchat/alternatives.md, /tools/openbmb-ultrarag/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/chatchat-space-langchain-chatchat-vs-openbmb-ultrarag.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Langchain-Chatchat or UltraRAG? Langchain-Chatchat: Slowing. UltraRAG: Very 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 Langchain-Chatchat and UltraRAG? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Langchain-Chatchat: /tools/chatchat-space-langchain-chatchat/trust; UltraRAG: /tools/openbmb-ultrarag/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat`](/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat) - 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/_