---
title: "docmind-ai-llm vs MindSQL"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/bjornmelin-docmind-ai-llm-vs-mindinventory-mindsql"
tools: ["bjornmelin-docmind-ai-llm", "mindinventory-mindsql"]
---

# docmind-ai-llm vs MindSQL

*GraphCanon updated Aug 13, 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 MindSQL if mindSQL uses RAG and models like GPT-4 to transform natural language into SQL queries for multiple databases, leveraging vectorstores such as ChromaDB and Faiss.

[docmind-ai-llm](https://github.com/BjornMelin/docmind-ai-llm) reports 147 GitHub stars, 27 forks, and 28 open issues, last pushed Aug 12, 2026. [MindSQL](https://www.mindinventory.com/text-to-sql-mindsql.php?utm_source=sampromotiion&utm_medium=Button&utm_campaign=sampromotion&utm_id=sampromotion&utm_term=sampromotiion&utm_content=sampromotiion) has 447 stars, 48 forks, and 10 open issues, last pushed Jul 16, 2025. Figures are from public GitHub metadata via [docmind-ai-llm's repository](https://github.com/BjornMelin/docmind-ai-llm) and [MindSQL's repository](https://github.com/Mindinventory/MindSQL).

| | [docmind-ai-llm](/tools/bjornmelin-docmind-ai-llm.md) | [MindSQL](/tools/mindinventory-mindsql.md) |
| --- | --- | --- |
| Tagline | Open-source Streamlit application for advanced offline document analysis using LLMs | A Python Text-to-SQL RAG Library simplifying database interactions with natural language queries. |
| Stars | 147 | 447 |
| Forks | 27 | 48 |
| Open issues | 28 | 10 |
| Language | Python | Python |
| 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. | MindSQL uses RAG and models like GPT-4 to transform natural language into SQL queries for multiple databases, leveraging vectorstores such as ChromaDB and Faiss. |
| Persona | - | - |
| Runtime | docker platform | - |
| License | MIT | GPL-3.0 |
| Categories | AI Agents, Data & Retrieval, Model Training | Data & Retrieval, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [docmind-ai-llm](/tools/bjornmelin-docmind-ai-llm.md) | [MindSQL](/tools/mindinventory-mindsql.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 1d | 387d |
| Open issues (now) | 28 | 10 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/bjornmelin-docmind-ai-llm/trust.md) | [trust report](/tools/mindinventory-mindsql/trust.md) |

## Shared compatibility

- **Python**: [docmind-ai-llm](/tools/bjornmelin-docmind-ai-llm.md) - Python runtime; [MindSQL](/tools/mindinventory-mindsql.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: MindSQL

- **Adopt for:** MindSQL uses RAG and models like GPT-4 to transform natural language into SQL queries for multiple databases, leveraging vectorstores such as ChromaDB and Faiss.

## Choose when

### Choose docmind-ai-llm if…

- License: docmind-ai-llm is MIT, MindSQL is GPL-3.0.
- 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, langgraph-supervisor-py.
- Also covers AI Agents.
- 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 MindSQL if…

- License: MindSQL is GPL-3.0, docmind-ai-llm is MIT.
- Tags unique to MindSQL: chatbot, rag, retrival-augmented, text-to-sql.
- - When you require text-to-SQL conversion that supports PostgreSQL, MySQL, SQLite, Snowflake, BigQuery with advanced context-aware responses powered by GPT-4 and Llama 2

## 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 MindSQL

- - If your project only supports Python versions below 3.10, since MindSQL requires at least Python 3.10
- - When using incompatible databases not listed such as Oracle, Microsoft SQL Server, because MindSQL's database support is limited to PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery

## Common questions

### What is the difference between docmind-ai-llm and MindSQL?

docmind-ai-llm: Open-source Streamlit application for advanced offline document analysis using LLMs. MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions with natural language queries.. See the comparison table for live GitHub stats and shared categories.

### When should I choose docmind-ai-llm over MindSQL?

Choose docmind-ai-llm over MindSQL when License: docmind-ai-llm is MIT, MindSQL is GPL-3.0; 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, langgraph-supervisor-py; Also covers AI Agents; 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 MindSQL over docmind-ai-llm?

Choose MindSQL over docmind-ai-llm when License: MindSQL is GPL-3.0, docmind-ai-llm is MIT; Tags unique to MindSQL: chatbot, rag, retrival-augmented, text-to-sql; - When you require text-to-SQL conversion that supports PostgreSQL, MySQL, SQLite, Snowflake, BigQuery with advanced context-aware responses powered by GPT-4 and Llama 2.

### 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 MindSQL?

- If your project only supports Python versions below 3.10, since MindSQL requires at least Python 3.10 - When using incompatible databases not listed such as Oracle, Microsoft SQL Server, because MindSQL's database support is limited to PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery

### Is docmind-ai-llm or MindSQL more popular on GitHub?

MindSQL has more GitHub stars (447 vs 147). Stars measure visibility, not whether either tool fits your constraints.

### Are docmind-ai-llm and MindSQL open source?

Yes - both are open-source projects on GitHub (docmind-ai-llm: MIT, MindSQL: GPL-3.0).

### Where can I find alternatives to docmind-ai-llm or MindSQL?

GraphCanon lists graph-backed alternatives at [docmind-ai-llm alternatives](/tools/bjornmelin-docmind-ai-llm/alternatives) and [MindSQL alternatives](/tools/mindinventory-mindsql/alternatives) ([docmind-ai-llm markdown twin](/tools/bjornmelin-docmind-ai-llm/alternatives.md), [MindSQL markdown twin](/tools/mindinventory-mindsql/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-mindinventory-mindsql.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 MindSQL?

docmind-ai-llm: Very active. MindSQL: Dormant. 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 MindSQL?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [docmind-ai-llm trust report](/tools/bjornmelin-docmind-ai-llm/trust); [MindSQL trust report](/tools/mindinventory-mindsql/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/_