Home/Compare/Langchain-Chatchat vs UltraRAG

Comparison

Langchain-Chatchat vs UltraRAG

Langchain-Chatchat (Local knowledge-based LLM RAG and Agent app) vs UltraRAG (Less Code, Lower Barrier, Faster Deployment) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · Langchain-Chatchat alternatives · UltraRAG alternatives

GraphCanon updated today

Langchain-Chatchat

chatchat-space/Langchain-Chatchat

★ 38kpushed Nov 10, 2025

UltraRAG

OpenBMB/UltraRAG

★ 5.6kpushed Jul 6, 2026

Tagline

Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app
UltraRAG: Less Code, Lower Barrier, Faster Deployment

Stars

Langchain-Chatchat: 38k
UltraRAG: 5.6k

Forks

Langchain-Chatchat: 6.2k
UltraRAG: 434

Open issues

Langchain-Chatchat: 23
UltraRAG: 24

Language

Langchain-Chatchat: Python
UltraRAG: Python

Adopt for

Langchain-Chatchat: 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
UltraRAG: <b.UltraRAG</b> 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

Langchain-Chatchat: -
UltraRAG: -

Runtime

Langchain-Chatchat: -
UltraRAG: -

License

Langchain-Chatchat: Apache-2.0
UltraRAG: Apache-2.0

Last pushed

Langchain-Chatchat: Nov 10, 2025
UltraRAG: Jul 6, 2026

	Langchain-Chatchat	UltraRAG
Tagline	Local knowledge-based LLM RAG and Agent app	Less Code, Lower Barrier, Faster Deployment
Stars	38k	5.6k
Forks	6.2k	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	<b.UltraRAG</b> 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
Last pushed	Nov 10, 2025	Jul 6, 2026
Categories	Evaluation & Observability, LLM Frameworks	LLM Frameworks, Inference & Serving
Trust and health
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	Trust report
Typed relationship	Langchain-Chatchat integrates UltraRAG

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.

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.

GitHub Details

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 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.

GitHub Details

Explore

Langchain-Chatchat trust report →UltraRAG trust report →Evaluation & Observability category →LLM Frameworks category →Inference & Serving category →All comparisons Stack workflows Trending tools

Related comparisons

langchain vs llama_index haystack vs langchain ollama vs llama.cpp langchain vs langgraph Yi vs Qwen Yi vs LLMs-from-scratch

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.