Comparison
Langchain-Chatchat vs agentic-rag-for-dummies
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 agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
Markdown twin · Langchain-Chatchat alternatives · agentic-rag-for-dummies alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | Langchain-Chatchat | agentic-rag-for-dummies |
|---|---|---|
| Maintenance | Slowing (270d since push) As of 1w · github_public_v1 | Active (19d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- agentic-rag-for-dummies
- A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents
Stars
- Langchain-Chatchat
- 39k
- agentic-rag-for-dummies
- 3.9k
Forks
- Langchain-Chatchat
- 6.3k
- agentic-rag-for-dummies
- 499
Open issues
- Langchain-Chatchat
- 25
- agentic-rag-for-dummies
- 0
Language
- Langchain-Chatchat
- Python
- agentic-rag-for-dummies
- Jupyter Notebook
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.
- agentic-rag-for-dummies
- Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
Persona
- Langchain-Chatchat
- -
- agentic-rag-for-dummies
- -
Runtime
- Langchain-Chatchat
- -
- agentic-rag-for-dummies
- -
License
- Langchain-Chatchat
- Apache-2.0
- agentic-rag-for-dummies
- MIT
Last pushed
- Langchain-Chatchat
- Nov 10, 2025
- agentic-rag-for-dummies
- Jul 25, 2026
Categories
- Langchain-Chatchat
- AI Agents, Data & Retrieval, LLM Frameworks
- agentic-rag-for-dummies
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- Langchain-Chatchat
- Slowing (36%)
- agentic-rag-for-dummies
- Active (82%)
Days since push
- Langchain-Chatchat
- 270d
- agentic-rag-for-dummies
- 19d
Open issues (now)
- Langchain-Chatchat
- 25
- agentic-rag-for-dummies
- 0
Stars delta
- Langchain-Chatchat
- +254 (30d)
- agentic-rag-for-dummies
- Unknown
Open issues delta
- Langchain-Chatchat
- +2 (30d)
- agentic-rag-for-dummies
- Unknown
Owner type
- Langchain-Chatchat
- Organization
- agentic-rag-for-dummies
- User
OSV dependency advisories
- Langchain-Chatchat
- No lockfile (source not queried)
- agentic-rag-for-dummies
- Published findings
Full report
- Langchain-Chatchat
- Trust report
- agentic-rag-for-dummies
- Trust report
Choose Langchain-Chatchat if…
- Langchain-Chatchat is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- License: Langchain-Chatchat is Apache-2.0, agentic-rag-for-dummies is MIT.
- 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..
- Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, llama.
- Also covers LLM Frameworks.
- - 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 agentic-rag-for-dummies if…
- agentic-rag-for-dummies is primarily Jupyter Notebook; Langchain-Chatchat is Python.
- License: agentic-rag-for-dummies is MIT, Langchain-Chatchat is Apache-2.0.
- Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio.
- When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.
When NOT to use agentic-rag-for-dummies
- If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details.
- Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment.
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 (GiovanniPasq/agentic-rag-for-dummies) · observed Aug 14, 2026
- GitHub forks (GiovanniPasq/agentic-rag-for-dummies) · observed Aug 14, 2026
- Last push (GiovanniPasq/agentic-rag-for-dummies) · observed Jul 25, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: Langchain-Chatchat 39k · agentic-rag-for-dummies 3.9k (synced Aug 7, 2026).
Common questions
- What is the difference between Langchain-Chatchat and agentic-rag-for-dummies?
- Langchain-Chatchat: Local knowledge-based RAG and Agent app using Langchain and various LLMs. agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose Langchain-Chatchat over agentic-rag-for-dummies?
- Choose Langchain-Chatchat over agentic-rag-for-dummies when Langchain-Chatchat is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; License: Langchain-Chatchat is Apache-2.0, agentic-rag-for-dummies is MIT; 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.; Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, llama; Also covers LLM Frameworks; - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases.
- When should I choose agentic-rag-for-dummies over Langchain-Chatchat?
- Choose agentic-rag-for-dummies over Langchain-Chatchat when agentic-rag-for-dummies is primarily Jupyter Notebook; Langchain-Chatchat is Python; License: agentic-rag-for-dummies is MIT, Langchain-Chatchat is Apache-2.0; Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio; When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.
- 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 agentic-rag-for-dummies?
- If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details. Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment.
- Is Langchain-Chatchat or agentic-rag-for-dummies more popular on GitHub?
- Langchain-Chatchat has more GitHub stars (38,522 vs 3,893). Stars measure visibility, not whether either tool fits your constraints.
- Are Langchain-Chatchat and agentic-rag-for-dummies open source?
- Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, agentic-rag-for-dummies: MIT).
- Where can I find alternatives to Langchain-Chatchat or agentic-rag-for-dummies?
- GraphCanon lists graph-backed alternatives at Langchain-Chatchat alternatives and agentic-rag-for-dummies alternatives (Langchain-Chatchat markdown twin, agentic-rag-for-dummies 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 agentic-rag-for-dummies?
- Langchain-Chatchat: Slowing. agentic-rag-for-dummies: 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 agentic-rag-for-dummies?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Langchain-Chatchat trust report; agentic-rag-for-dummies trust report.