Comparison
Langchain-Chatchat vs llama_cloud_services
Verdict
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; pick llama_cloud_services if llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages.
Markdown twin · Langchain-Chatchat alternatives · llama_cloud_services alternatives
GraphCanon updated Sep 20, 2026
6views this month
vs
Trust & integrity
| Signal | Langchain-Chatchat | llama_cloud_services |
|---|---|---|
| Maintenance | Slowing (311d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (122d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 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 Sep 18, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 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
- Langchain-Chatchat
- Local knowledge-based LLM RAG and Agent app with Langchain
- llama_cloud_services
- Knowledge Agents and Management in the Cloud
Stars
- Langchain-Chatchat
- 39k
- llama_cloud_services
- 4.3k
Forks
- Langchain-Chatchat
- 6.3k
- llama_cloud_services
- 465
Open issues
- Langchain-Chatchat
- 26
- llama_cloud_services
- 365
Language
- Langchain-Chatchat
- Python
- llama_cloud_services
- TypeScript
Adopt for
- 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.
- llama_cloud_services
- Llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages.
Persona
- Langchain-Chatchat
- -
- llama_cloud_services
- -
Runtime
- Langchain-Chatchat
- -
- llama_cloud_services
- -
License
- Langchain-Chatchat
- Apache-2.0
- llama_cloud_services
- MIT License
Last pushed
- Langchain-Chatchat
- Nov 10, 2025
- llama_cloud_services
- May 18, 2026
Categories
- Langchain-Chatchat
- AI Agents, Data & Retrieval, LLM Frameworks
- llama_cloud_services
- AI Agents, Data & Retrieval
Trust and health
Days since push
- Langchain-Chatchat
- 311d
- llama_cloud_services
- 122d
Open issues (now)
- Langchain-Chatchat
- 26
- llama_cloud_services
- 365
Stars delta
- Langchain-Chatchat
- +122 (30d)
- llama_cloud_services
- +9 (30d)
Open issues delta
- Langchain-Chatchat
- +1 (30d)
- llama_cloud_services
- -1 (30d)
OSV dependency advisories
- Langchain-Chatchat
- No lockfile (source not queried)
- llama_cloud_services
- No published findings from this source as of 2026-09-18
Full report
- Langchain-Chatchat
- Trust report
- llama_cloud_services
- Trust report
Choose Langchain-Chatchat if…
- Langchain-Chatchat is primarily Python; llama_cloud_services is TypeScript.
- License: Langchain-Chatchat is Apache-2.0, llama_cloud_services is MIT.
- Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt.
- Also covers LLM Frameworks.
- 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.
Choose llama_cloud_services if…
- llama_cloud_services is primarily TypeScript; Langchain-Chatchat is Python.
- License: llama_cloud_services is MIT, Langchain-Chatchat is Apache-2.0.
- Pricing: The repository is open-source under the MIT License, but pricing details for the cloud services are not provided..
- Requirements: The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages..
- Tags unique to llama_cloud_services: document, document-parser, document-parsing, docx-to-markdown.
- Use Llama Cloud Services if you are currently invested in its ecosystem and need to maintain existing projects until May 1, 2026.
When NOT to use llama_cloud_services
- Avoid Llama Cloud Services for new projects as it is deprecated and will not receive updates after May 1, 2026.
- Do not use it if you need the latest performance improvements and active support, as these are only available in the newer Python and TypeScript packages.
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 Sep 20, 2026
- GitHub forks (chatchat-space/Langchain-Chatchat) · observed Sep 20, 2026
- Last push (chatchat-space/Langchain-Chatchat) · observed Nov 10, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (run-llama/llama_cloud_services) · observed Sep 20, 2026
- GitHub forks (run-llama/llama_cloud_services) · observed Sep 20, 2026
- Last push (run-llama/llama_cloud_services) · observed May 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: Langchain-Chatchat 39k · llama_cloud_services 4.3k (synced Sep 20, 2026).
Common questions
- What is the difference between Langchain-Chatchat and llama_cloud_services?
- Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app with Langchain. llama_cloud_services: Knowledge Agents and Management in the Cloud. See the comparison table for live GitHub stats and shared categories.
- When should I choose Langchain-Chatchat over llama_cloud_services?
- Choose Langchain-Chatchat over llama_cloud_services when Langchain-Chatchat is primarily Python; llama_cloud_services is TypeScript; License: Langchain-Chatchat is Apache-2.0, llama_cloud_services is MIT; Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt; Also covers LLM Frameworks; When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama.
- When should I choose llama_cloud_services over Langchain-Chatchat?
- Choose llama_cloud_services over Langchain-Chatchat when llama_cloud_services is primarily TypeScript; Langchain-Chatchat is Python; License: llama_cloud_services is MIT, Langchain-Chatchat is Apache-2.0; Pricing: The repository is open-source under the MIT License, but pricing details for the cloud services are not provided.; Requirements: The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages.; Tags unique to llama_cloud_services: document, document-parser, document-parsing, docx-to-markdown; Use Llama Cloud Services if you are currently invested in its ecosystem and need to maintain existing projects until May 1, 2026.
- 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.
- When should I avoid llama_cloud_services?
- Avoid Llama Cloud Services for new projects as it is deprecated and will not receive updates after May 1, 2026. Do not use it if you need the latest performance improvements and active support, as these are only available in the newer Python and TypeScript packages.
- Is Langchain-Chatchat or llama_cloud_services more popular on GitHub?
- Langchain-Chatchat has more GitHub stars (38,644 vs 4,267). Stars measure visibility, not whether either tool fits your constraints.
- Are Langchain-Chatchat and llama_cloud_services open source?
- Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, llama_cloud_services: MIT).
- Where can I find alternatives to Langchain-Chatchat or llama_cloud_services?
- GraphCanon lists graph-backed alternatives at Langchain-Chatchat alternatives and llama_cloud_services alternatives (Langchain-Chatchat markdown twin, llama_cloud_services 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 llama_cloud_services?
- Langchain-Chatchat: Slowing. llama_cloud_services: 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 Langchain-Chatchat and llama_cloud_services?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Langchain-Chatchat trust report; llama_cloud_services trust report.