Comparison
Langchain-Chatchat vs UltraRAG
Verdict
Pick Langchain-Chatchat if langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama; pick UltraRAG if ultraRAG is a low-code framework for building retrieval-augmented generation pipelines with Python.
Markdown twin · Langchain-Chatchat alternatives · UltraRAG alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | Langchain-Chatchat | UltraRAG |
|---|---|---|
| Maintenance | Slowing (270d since push) As of 1w · github_public_v1 | Very active (1d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Langchain-Chatchat
- Local knowledge-based RAG and Agent app using Langchain and various LLMs
- UltraRAG
- A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Stars
- Langchain-Chatchat
- 39k
- UltraRAG
- 5.7k
Forks
- Langchain-Chatchat
- 6.3k
- UltraRAG
- 437
Open issues
- Langchain-Chatchat
- 25
- UltraRAG
- 18
Language
- Langchain-Chatchat
- Python
- UltraRAG
- Python
Adopt for
- Langchain-Chatchat
- Langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama.
- UltraRAG
- UltraRAG is a low-code framework for building retrieval-augmented generation pipelines with Python.
Persona
- Langchain-Chatchat
- -
- UltraRAG
- -
Runtime
- Langchain-Chatchat
- -
- UltraRAG
- -
License
- Langchain-Chatchat
- Apache-2.0
- UltraRAG
- Apache-2.0 license provides freedom with conditions for use, modification, and distribution.
Last pushed
- Langchain-Chatchat
- Nov 10, 2025
- UltraRAG
- Aug 17, 2026
Categories
- Langchain-Chatchat
- AI Agents, Data & Retrieval, LLM Frameworks
- UltraRAG
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- Langchain-Chatchat
- Slowing (36%)
- UltraRAG
- Very active (96%)
Days since push
- Langchain-Chatchat
- 270d
- UltraRAG
- 1d
Open issues (now)
- Langchain-Chatchat
- 25
- UltraRAG
- 18
Stars delta
- Langchain-Chatchat
- +254 (30d)
- UltraRAG
- +18 (30d)
Open issues delta
- Langchain-Chatchat
- +2 (30d)
- UltraRAG
- -7 (30d)
Full report
- Langchain-Chatchat
- Trust report
- UltraRAG
- Trust report
Typed relationship
Langchain-Chatchat alternative UltraRAGBoth UltraRAG and Langchain-Chatchat focus on local knowledge-based RAG pipelines. They share similar goals in providing tools for building robust RAG applications but with varying designs.
Choose Langchain-Chatchat if…
- Requirements: - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services..
- Both UltraRAG and Langchain-Chatchat focus on local knowledge-based RAG pipelines. They share similar goals in providing tools for building robust RAG applications but with varying designs.
- Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, langchain.
- Also covers AI Agents.
- - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases.
When NOT to use Langchain-Chatchat
- - If your application requires real-time updates from the internet, as Langchain-Chatchat operates within a closed system without dynamic web retrieval capabilities.
- - In scenarios where deploying through Docker and managing multiple services via docker-compose might be too complex or not feasible for your operational setup.
Choose UltraRAG if…
- Both UltraRAG and Langchain-Chatchat focus on local knowledge-based RAG pipelines. They share similar goals in providing tools for building robust RAG applications but with varying designs.
- Tags unique to UltraRAG: deepseek, demo, easy, embedding.
- UltraRAG ships Docker support for self-hosted deployment.
- You require a straightforward setup with uv package manager or Docker support
When NOT to use UltraRAG
- Prefer tools that do not rely on specific package managers like uv
- Require more customization in pipeline creation beyond what low-code environments offer
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (chatchat-space/Langchain-Chatchat) · observed Aug 7, 2026
- GitHub forks (chatchat-space/Langchain-Chatchat) · observed Aug 7, 2026
- Last push (chatchat-space/Langchain-Chatchat) · observed Nov 10, 2025
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (OpenBMB/UltraRAG) · observed Aug 18, 2026
- GitHub forks (OpenBMB/UltraRAG) · observed Aug 18, 2026
- Last push (OpenBMB/UltraRAG) · observed Aug 17, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Langchain-Chatchat 39k · UltraRAG 5.7k (synced Aug 7, 2026).
Common questions
- What is the difference between Langchain-Chatchat and UltraRAG?
- Langchain-Chatchat: Local knowledge-based RAG and Agent app using Langchain and various LLMs. UltraRAG: A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines. 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 Requirements: - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services.; Both UltraRAG and Langchain-Chatchat focus on local knowledge-based RAG pipelines. They share similar goals in providing tools for building robust RAG applications but with varying designs; Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, langchain; Also covers AI Agents; - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases.
- When should I choose UltraRAG over Langchain-Chatchat?
- Choose UltraRAG over Langchain-Chatchat when Both UltraRAG and Langchain-Chatchat focus on local knowledge-based RAG pipelines. They share similar goals in providing tools for building robust RAG applications but with varying designs; Tags unique to UltraRAG: deepseek, demo, easy, embedding; UltraRAG ships Docker support for self-hosted deployment; You require a straightforward setup with uv package manager or Docker support.
- When should I avoid Langchain-Chatchat?
- - If your application requires real-time updates from the internet, as Langchain-Chatchat operates within a closed system without dynamic web retrieval capabilities. - In scenarios where deploying through Docker and managing multiple services via docker-compose might be too complex or not feasible for your operational setup.
- When should I avoid UltraRAG?
- Prefer tools that do not rely on specific package managers like uv Require more customization in pipeline creation beyond what low-code environments offer
- Is Langchain-Chatchat or UltraRAG more popular on GitHub?
- Langchain-Chatchat has more GitHub stars (38,522 vs 5,670). 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 Langchain-Chatchat alternatives and UltraRAG alternatives (Langchain-Chatchat markdown twin, UltraRAG markdown twin), 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 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 trust report; UltraRAG trust report.