--- title: "docmind-ai-llm vs llama_cloud_services" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bjornmelin-docmind-ai-llm-vs-run-llama-llama-cloud-services" tools: ["bjornmelin-docmind-ai-llm", "run-llama-llama-cloud-services"] --- # docmind-ai-llm vs llama_cloud_services *GraphCanon updated Sep 20, 2026* ## Verdict Pick docmind-ai-llm if docMind AI is an open-source Python application using local Large Language Models for offline document analysis. It supports various file formats and offers secure and private insights extraction; 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. [docmind-ai-llm](https://github.com/BjornMelin/docmind-ai-llm) reports 153 GitHub stars, 29 forks, and 26 open issues, last pushed Aug 19, 2026. [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 [docmind-ai-llm's repository](https://github.com/BjornMelin/docmind-ai-llm) and [llama_cloud_services's repository](https://github.com/run-llama/llama_cloud_services). | | [docmind-ai-llm](/tools/bjornmelin-docmind-ai-llm.md) | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | | --- | --- | --- | | Tagline | Open-source Streamlit application for advanced offline document analysis using LLMs | Knowledge Agents and Management in the Cloud | | Stars | 153 | 4,267 | | Forks | 29 | 465 | | Open issues | 26 | 365 | | Language | Python | TypeScript | | Adopt for | DocMind AI is an open-source Python application using local Large Language Models for offline document analysis. It supports various file formats and offers secure and private insights extraction. | Llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages. | | Persona | - | - | | Runtime | docker platform | - | | License | MIT | MIT License | | Categories | AI Agents, Data & Retrieval, Model Training | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [docmind-ai-llm](/tools/bjornmelin-docmind-ai-llm.md) | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 32d | 122d | | Open issues (now) | 26 | 365 | | Stars delta | +6 (30d) | +9 (30d) | | Open issues delta | -2 (30d) | -1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/bjornmelin-docmind-ai-llm/trust.md) | [trust report](/tools/run-llama-llama-cloud-services/trust.md) | ## Shared compatibility - **Python**: [docmind-ai-llm](/tools/bjornmelin-docmind-ai-llm.md) - Python runtime; [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) - Python runtime ## Decision facts: docmind-ai-llm - **Hosting:** self hosted - DocMind AI operates in an entirely self-hosted manner, ideal for environments requiring local model operation without internet dependencies. - **Pricing:** freemium - Being open-source under MIT license, DocMind AI is free to use. However, additional setup and processing power are required. - **Requirements:** - The tool requires specific libraries such as LlamaIndex, LangGraph, Streamlit, Ollama, Qdrant Client, among others. - **Adopt for:** DocMind AI is an open-source Python application using local Large Language Models for offline document analysis. It supports various file formats and offers secure and private insights extraction. - **Runtime:** docker platform ## 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 docmind-ai-llm if… - docmind-ai-llm is primarily Python; llama_cloud_services is TypeScript. - DocMind AI operates in an entirely self-hosted manner, ideal for environments requiring local model operation without internet dependencies. - Pricing: Being open-source under MIT license, DocMind AI is free to use. However, additional setup and processing power are required.. - Requirements: - The tool requires specific libraries such as LlamaIndex, LangGraph, Streamlit, Ollama, Qdrant Client, among others.. - Tags unique to docmind-ai-llm: ai-agents, document-analysis, hybrid-search, langchain. - Also covers Model Training. - docmind-ai-llm ships Docker support for self-hosted deployment. - - When you need to analyze documents securely and privately, ensuring that all processing happens offline. ### Choose llama_cloud_services if… - llama_cloud_services is primarily TypeScript; docmind-ai-llm is Python. - 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 docmind-ai-llm - - When working in non-POSIX compliant OSes such as native Windows, where functionalities involving searchability in PDFs are unsupported. - - For deployments requiring cloud-based or internet-accessible models; here DocMind's focus on local LLMs and offline processing is a limitation. ## 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 docmind-ai-llm and llama_cloud_services? docmind-ai-llm: Open-source Streamlit application for advanced offline document analysis using LLMs. 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 docmind-ai-llm over llama_cloud_services? Choose docmind-ai-llm over llama_cloud_services when docmind-ai-llm is primarily Python; llama_cloud_services is TypeScript; DocMind AI operates in an entirely self-hosted manner, ideal for environments requiring local model operation without internet dependencies; Pricing: Being open-source under MIT license, DocMind AI is free to use. However, additional setup and processing power are required.; Requirements: - The tool requires specific libraries such as LlamaIndex, LangGraph, Streamlit, Ollama, Qdrant Client, among others.; Tags unique to docmind-ai-llm: ai-agents, document-analysis, hybrid-search, langchain; Also covers Model Training; docmind-ai-llm ships Docker support for self-hosted deployment; - When you need to analyze documents securely and privately, ensuring that all processing happens offline. ### When should I choose llama_cloud_services over docmind-ai-llm? Choose llama_cloud_services over docmind-ai-llm when llama_cloud_services is primarily TypeScript; docmind-ai-llm is Python; 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 docmind-ai-llm? - When working in non-POSIX compliant OSes such as native Windows, where functionalities involving searchability in PDFs are unsupported. - For deployments requiring cloud-based or internet-accessible models; here DocMind's focus on local LLMs and offline processing is a limitation. ### 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 docmind-ai-llm or llama_cloud_services more popular on GitHub? llama_cloud_services has more GitHub stars (4,267 vs 153). Stars measure visibility, not whether either tool fits your constraints. ### Are docmind-ai-llm and llama_cloud_services open source? Yes - both are open-source projects on GitHub (docmind-ai-llm: MIT, llama_cloud_services: MIT). ### Where can I find alternatives to docmind-ai-llm or llama_cloud_services? GraphCanon lists graph-backed alternatives at [docmind-ai-llm alternatives](/tools/bjornmelin-docmind-ai-llm/alternatives) and [llama_cloud_services alternatives](/tools/run-llama-llama-cloud-services/alternatives) ([docmind-ai-llm markdown twin](/tools/bjornmelin-docmind-ai-llm/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/bjornmelin-docmind-ai-llm-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, docmind-ai-llm or llama_cloud_services? docmind-ai-llm: Steady. 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 docmind-ai-llm and llama_cloud_services? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [docmind-ai-llm trust report](/tools/bjornmelin-docmind-ai-llm/trust); [llama_cloud_services trust report](/tools/run-llama-llama-cloud-services/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bjornmelin-docmind-ai-llm`](/api/graphcanon/graph?tool=bjornmelin-docmind-ai-llm) - 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/_