Comparison
Langchain-Chatchat vs rags
Langchain-Chatchat (Local knowledge-based LLM RAG and Agent app) vs rags (Streamlit app for RAG pipeline creation with natural language interface) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · Langchain-Chatchat alternatives · rags alternatives
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vs
Tagline
- Langchain-Chatchat
- Local knowledge-based LLM RAG and Agent app
- rags
- Streamlit app for RAG pipeline creation with natural language interface
Stars
- Langchain-Chatchat
- 38k
- rags
- 6.5k
Forks
- Langchain-Chatchat
- 6.2k
- rags
- 660
Open issues
- Langchain-Chatchat
- 23
- rags
- 38
Language
- Langchain-Chatchat
- Python
- rags
- 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
- rags
- -
Persona
- Langchain-Chatchat
- -
- rags
- -
Runtime
- Langchain-Chatchat
- -
- rags
- -
License
- Langchain-Chatchat
- Apache-2.0
- rags
- MIT
Last pushed
- Langchain-Chatchat
- Nov 10, 2025
- rags
- Apr 5, 2024
Categories
- Langchain-Chatchat
- Evaluation & Observability, LLM Frameworks
- rags
- LLM Frameworks, Developer Tools
Trust and health
Maintenance
- Langchain-Chatchat
- Slowing (36%)
- rags
- Dormant (18%)
Days since push
- Langchain-Chatchat
- 239d
- rags
- 824d
Open issues (now)
- Langchain-Chatchat
- 23
- rags
- 38
Security scan
- Langchain-Chatchat
- No lockfile
- rags
- Not scanned
Full report
- Langchain-Chatchat
- Trust report
- rags
- Trust report
Typed relationship
Langchain-Chatchat alternative ragsBoth RAGs and LangChain-Chatchat aim to provide local knowledge-based LLM RAG and agent app functionality, yet they approach the problem with different configurations and user experiences.
Choose Langchain-Chatchat if…
- License: Langchain-Chatchat is Apache-2.0, rags is MIT.
- Both RAGs and LangChain-Chatchat aim to provide local knowledge-based LLM RAG and agent app functionality, yet they approach the problem with different configurations and user experiences.
- Tags unique to Langchain-Chatchat: chatchat, chatglm, embedding, gpt.
- 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.
Choose rags if…
- License: rags is MIT, Langchain-Chatchat is Apache-2.0.
- Both RAGs and LangChain-Chatchat aim to provide local knowledge-based LLM RAG and agent app functionality, yet they approach the problem with different configurations and user experiences.
- Tags unique to rags: llm, rag, openai, agent.
- Also covers Developer Tools.
When NOT to use rags
- Last GitHub push was 825 days ago (dormant maintenance, Apr 5, 2024). Validate activity before betting a new project on rags.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Explore
Langchain-Chatchat trust report →rags trust report →Evaluation & Observability category →LLM Frameworks category →Developer Tools category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between Langchain-Chatchat and rags?
- Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app. rags: Streamlit app for RAG pipeline creation with natural language interface. See the comparison table for live GitHub stats and shared categories.
- When should I choose Langchain-Chatchat over rags?
- Choose Langchain-Chatchat over rags when License: Langchain-Chatchat is Apache-2.0, rags is MIT; Both RAGs and LangChain-Chatchat aim to provide local knowledge-based LLM RAG and agent app functionality, yet they approach the problem with different configurations and user experiences; Tags unique to Langchain-Chatchat: chatchat, chatglm, embedding, gpt; 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 rags over Langchain-Chatchat?
- Choose rags over Langchain-Chatchat when License: rags is MIT, Langchain-Chatchat is Apache-2.0; Both RAGs and LangChain-Chatchat aim to provide local knowledge-based LLM RAG and agent app functionality, yet they approach the problem with different configurations and user experiences; Tags unique to rags: llm, rag, openai, agent; Also covers Developer Tools.
- 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 rags?
- Last GitHub push was 825 days ago (dormant maintenance, Apr 5, 2024). Validate activity before betting a new project on rags. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is Langchain-Chatchat or rags more popular on GitHub?
- Langchain-Chatchat has more GitHub stars (38,268 vs 6,546). Stars measure visibility, not whether either tool fits your constraints.
- Are Langchain-Chatchat and rags open source?
- Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, rags: MIT).
- Where can I find alternatives to Langchain-Chatchat or rags?
- GraphCanon lists graph-backed alternatives at /tools/chatchat-space-langchain-chatchat/alternatives and /tools/run-llama-rags/alternatives (/tools/chatchat-space-langchain-chatchat/alternatives.md, /tools/run-llama-rags/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-run-llama-rags.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Langchain-Chatchat or rags?
- Langchain-Chatchat: Slowing. rags: Dormant. 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 rags?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Langchain-Chatchat: /tools/chatchat-space-langchain-chatchat/trust; rags: /tools/run-llama-rags/trust.