Home/Compare/graphrag-rs vs Langchain-Chatchat

Comparison

graphrag-rs vs Langchain-Chatchat

Verdict

Pick graphrag-rs if graphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust; 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.

Markdown twin · graphrag-rs alternatives · Langchain-Chatchat alternatives

GraphCanon updated Sep 20, 2026

11views this month

graphrag-rs logo

graphrag-rs

automataIA/graphrag-rs

★ 527pushed Jun 2, 2026
vs
Langchain-Chatchat logo

Langchain-Chatchat

chatchat-space/Langchain-Chatchat

★ 39kpushed Nov 10, 2025

Trust & integrity

Signalgraphrag-rsLangchain-Chatchat
Maintenance
Slowing (109d since push)
As of Sep 20, 2026 · github_public_v1
Slowing (311d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · 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

graphrag-rs
GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.
Langchain-Chatchat
Local knowledge-based LLM RAG and Agent app with Langchain

Stars

graphrag-rs
527
Langchain-Chatchat
39k

Forks

graphrag-rs
50
Langchain-Chatchat
6.3k

Open issues

graphrag-rs
0
Langchain-Chatchat
26

Language

graphrag-rs
Rust
Langchain-Chatchat
Python

Adopt for

graphrag-rs
GraphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust.
Langchain-Chatchat
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

graphrag-rs
-
Langchain-Chatchat
-

Runtime

graphrag-rs
-
Langchain-Chatchat
-

License

graphrag-rs
MIT
Langchain-Chatchat
Apache-2.0

Last pushed

graphrag-rs
Jun 2, 2026
Langchain-Chatchat
Nov 10, 2025

Categories

graphrag-rs
Data & Retrieval, LLM Frameworks
Langchain-Chatchat
AI Agents, Data & Retrieval, LLM Frameworks

Trust and health

Days since push

graphrag-rs
109d
Langchain-Chatchat
311d

Open issues (now)

graphrag-rs
0
Langchain-Chatchat
26

Stars delta

graphrag-rs
+5 (30d)
Langchain-Chatchat
+122 (30d)

Open issues delta

graphrag-rs
0 (30d)
Langchain-Chatchat
+1 (30d)

Owner type

graphrag-rs
User
Langchain-Chatchat
Organization

Full report

graphrag-rs
Trust report
Langchain-Chatchat
Trust report

Choose graphrag-rs if…

  • graphrag-rs is primarily Rust; Langchain-Chatchat is Python.
  • License: graphrag-rs is MIT, Langchain-Chatchat is Apache-2.0.
  • Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag.
  • Need Rust-based implementation for integration into existing Rust projects

When NOT to use graphrag-rs

  • Seeking solutions that offer cloud-hosted machine learning services directly
  • Projects that demand Python libraries due to ecosystem dependencies

Choose Langchain-Chatchat if…

  • Langchain-Chatchat is primarily Python; graphrag-rs is Rust.
  • License: Langchain-Chatchat is Apache-2.0, graphrag-rs is MIT.
  • 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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: graphrag-rs 527 · Langchain-Chatchat 39k (synced Sep 20, 2026).

Common questions

What is the difference between graphrag-rs and Langchain-Chatchat?
graphrag-rs: GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.. 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 graphrag-rs over Langchain-Chatchat?
Choose graphrag-rs over Langchain-Chatchat when graphrag-rs is primarily Rust; Langchain-Chatchat is Python; License: graphrag-rs is MIT, Langchain-Chatchat is Apache-2.0; Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag; Need Rust-based implementation for integration into existing Rust projects.
When should I choose Langchain-Chatchat over graphrag-rs?
Choose Langchain-Chatchat over graphrag-rs when Langchain-Chatchat is primarily Python; graphrag-rs is Rust; License: Langchain-Chatchat is Apache-2.0, graphrag-rs is MIT; 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 graphrag-rs?
Seeking solutions that offer cloud-hosted machine learning services directly Projects that demand Python libraries due to ecosystem dependencies
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 graphrag-rs or Langchain-Chatchat more popular on GitHub?
Langchain-Chatchat has more GitHub stars (38,644 vs 527). Stars measure visibility, not whether either tool fits your constraints.
Are graphrag-rs and Langchain-Chatchat open source?
Yes - both are open-source projects on GitHub (graphrag-rs: MIT, Langchain-Chatchat: Apache-2.0).
Where can I find alternatives to graphrag-rs or Langchain-Chatchat?
GraphCanon lists graph-backed alternatives at graphrag-rs alternatives and Langchain-Chatchat alternatives (graphrag-rs markdown twin, Langchain-Chatchat 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, graphrag-rs or Langchain-Chatchat?
graphrag-rs: Slowing. 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 graphrag-rs and Langchain-Chatchat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphrag-rs trust report; Langchain-Chatchat trust report.

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