Comparison
docmind-ai-llm vs llama_index
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_index if llamaIndex is an open-source framework for building AI-powered document processing applications, including RAG and agent applications, with a focus on document parsing and extraction. It offers.
Markdown twin · docmind-ai-llm alternatives · llama_index alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | docmind-ai-llm | llama_index |
|---|---|---|
| Maintenance | Steady (32d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d 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 15, 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
- docmind-ai-llm
- Open-source Streamlit application for advanced offline document analysis using LLMs
- llama_index
- Document processing platform for AI
Stars
- docmind-ai-llm
- 153
- llama_index
- 52k
Forks
- docmind-ai-llm
- 29
- llama_index
- 8.2k
Open issues
- docmind-ai-llm
- 26
- llama_index
- 802
Language
- docmind-ai-llm
- Python
- llama_index
- Python
Adopt for
- docmind-ai-llm
- 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_index
- LlamaIndex is an open-source framework for building AI-powered document processing applications, including RAG and agent applications, with a focus on document parsing and extraction. It offers over 300 integration packs
Persona
- docmind-ai-llm
- -
- llama_index
- -
Runtime
- docmind-ai-llm
- docker platform
- llama_index
- -
License
- docmind-ai-llm
- MIT
- llama_index
- MIT
Last pushed
- docmind-ai-llm
- Aug 19, 2026
- llama_index
- Sep 18, 2026
Categories
- docmind-ai-llm
- AI Agents, Data & Retrieval, Model Training
- llama_index
- AI Agents, Data & Retrieval, Developer Tools, Model Training
Trust and health
Maintenance
- docmind-ai-llm
- Steady (60%)
- llama_index
- Very active (96%)
Days since push
- docmind-ai-llm
- 32d
- llama_index
- 0d
Open issues (now)
- docmind-ai-llm
- 26
- llama_index
- 802
Stars delta
- docmind-ai-llm
- +6 (30d)
- llama_index
- +765 (30d)
Open issues delta
- docmind-ai-llm
- -2 (30d)
- llama_index
- +187 (30d)
Owner type
- docmind-ai-llm
- User
- llama_index
- Organization
Full report
- docmind-ai-llm
- Trust report
- llama_index
- Trust report
Shared compatibility
- Python · docmind-ai-llm: Python runtime · llama_index: Python runtime
Choose docmind-ai-llm if…
- 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.
- 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 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.
Choose llama_index if…
- Tags unique to llama_index: agents, application, data, fine-tuning.
- Also covers Developer Tools.
- When you need a framework that focuses on document parsing and extraction, as LlamaIndex has evolved to prioritize these capabilities
When NOT to use llama_index
- If your project requires enterprise-level features such as agentic OCR, as LlamaIndex's primary focus has shifted towards LlamaParse, an enterprise platform
- When you need a tool that is actively developed and maintained as the primary focus of the company has shifted towards LlamaParse and LiteParse, and the OSS framework is now a secondary focus
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (BjornMelin/docmind-ai-llm) · observed Sep 20, 2026
- GitHub forks (BjornMelin/docmind-ai-llm) · observed Sep 20, 2026
- Last push (BjornMelin/docmind-ai-llm) · observed Aug 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (run-llama/llama_index) · observed Sep 20, 2026
- GitHub forks (run-llama/llama_index) · observed Sep 20, 2026
- Last push (run-llama/llama_index) · observed Sep 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: docmind-ai-llm 153 · llama_index 52k (synced Sep 20, 2026).
Common questions
- What is the difference between docmind-ai-llm and llama_index?
- docmind-ai-llm: Open-source Streamlit application for advanced offline document analysis using LLMs. llama_index: Document processing platform for AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose docmind-ai-llm over llama_index?
- Choose docmind-ai-llm over llama_index when 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; 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_index over docmind-ai-llm?
- Choose llama_index over docmind-ai-llm when Tags unique to llama_index: agents, application, data, fine-tuning; Also covers Developer Tools; When you need a framework that focuses on document parsing and extraction, as LlamaIndex has evolved to prioritize these capabilities.
- 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_index?
- If your project requires enterprise-level features such as agentic OCR, as LlamaIndex's primary focus has shifted towards LlamaParse, an enterprise platform When you need a tool that is actively developed and maintained as the primary focus of the company has shifted towards LlamaParse and LiteParse, and the OSS framework is now a secondary focus
- Is docmind-ai-llm or llama_index more popular on GitHub?
- llama_index has more GitHub stars (52,207 vs 153). Stars measure visibility, not whether either tool fits your constraints.
- Are docmind-ai-llm and llama_index open source?
- Yes - both are open-source projects on GitHub (docmind-ai-llm: MIT, llama_index: MIT).
- Where can I find alternatives to docmind-ai-llm or llama_index?
- GraphCanon lists graph-backed alternatives at docmind-ai-llm alternatives and llama_index alternatives (docmind-ai-llm markdown twin, llama_index 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, docmind-ai-llm or llama_index?
- docmind-ai-llm: Steady. llama_index: Very 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 docmind-ai-llm and llama_index?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: docmind-ai-llm trust report; llama_index trust report.