--- title: "Langchain-Chatchat vs llama_cloud_services" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chatchat-space-langchain-chatchat-vs-run-llama-llama-cloud-services" tools: ["chatchat-space-langchain-chatchat", "run-llama-llama-cloud-services"] --- # Langchain-Chatchat vs llama_cloud_services *GraphCanon updated Sep 20, 2026* ## 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. [Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) reports 39k GitHub stars, 6.3k forks, and 26 open issues, last pushed Nov 10, 2025. [llama_cloud_services](https://cloud.llamaindex.ai) has 4.3k stars, 465 forks, and 365 open issues, last pushed May 18, 2026. Figures are from public GitHub metadata via [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat) and [llama_cloud_services's repository](https://github.com/run-llama/llama_cloud_services). | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | | --- | --- | --- | | Tagline | Local knowledge-based LLM RAG and Agent app with Langchain | Knowledge Agents and Management in the Cloud | | Stars | 38,644 | 4,267 | | Forks | 6,265 | 465 | | Open issues | 26 | 365 | | Language | Python | TypeScript | | Adopt for | 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 is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License | | Categories | AI Agents, Data & Retrieval, LLM Frameworks | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | | --- | --- | --- | | Days since push | 311d | 122d | | Open issues (now) | 26 | 365 | | Stars delta | +122 (30d) | +9 (30d) | | Open issues delta | +1 (30d) | -1 (30d) | | Full report | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | [trust report](/tools/run-llama-llama-cloud-services/trust.md) | ## Decision facts: Langchain-Chatchat - **Adopt for:** 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. ## Decision facts: llama_cloud_services - **Pricing:** unknown - 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. - **Adopt for:** Llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages. - **License detail:** MIT License ## Choose when ### 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. ### 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 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 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. ## 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](/tools/chatchat-space-langchain-chatchat/alternatives) and [llama_cloud_services alternatives](/tools/run-llama-llama-cloud-services/alternatives) ([Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/alternatives.md), [llama_cloud_services markdown twin](/tools/run-llama-llama-cloud-services/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 [this comparison](/compare/chatchat-space-langchain-chatchat-vs-run-llama-llama-cloud-services.md) 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](/tools/chatchat-space-langchain-chatchat/trust); [llama_cloud_services trust report](/tools/run-llama-llama-cloud-services/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat`](/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_