--- title: "knowledge-gpt vs knowledge_gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/geeks-of-data-knowledge-gpt-vs-mmz-001-knowledge-gpt" tools: ["geeks-of-data-knowledge-gpt", "mmz-001-knowledge-gpt"] --- # knowledge-gpt vs knowledge_gpt *GraphCanon updated Aug 23, 2026* ## Verdict Pick knowledge-gpt if knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers; pick knowledge_gpt if knowledge_gpt is a Python-based tool with Streamlit UI, MIT licensed, for generating accurate document responses with citations. [knowledge-gpt](https://pypi.org/project/knowledgegpt/) reports 291 GitHub stars, 52 forks, and 8 open issues, last pushed Apr 25, 2023. [knowledge_gpt](https://knowledgegpt.streamlit.app/) has 1.6k stars, 787 forks, and 16 open issues, last pushed May 29, 2024. Figures are from public GitHub metadata via [knowledge-gpt's repository](https://github.com/geeks-of-data/knowledge-gpt) and [knowledge_gpt's repository](https://github.com/mmz-001/knowledge_gpt). | | [knowledge-gpt](/tools/geeks-of-data-knowledge-gpt.md) | [knowledge_gpt](/tools/mmz-001-knowledge-gpt.md) | | --- | --- | --- | | Tagline | Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources. | Accurate answers and instant citations for your documents. | | Stars | 291 | 1,634 | | Forks | 52 | 787 | | Open issues | 8 | 16 | | Language | Python | Python | | Adopt for | knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers. | knowledge_gpt is a Python-based tool with Streamlit UI, MIT licensed, for generating accurate document responses with citations. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Evaluation & Observability, LLM Frameworks, Model Training | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [knowledge-gpt](/tools/geeks-of-data-knowledge-gpt.md) | [knowledge_gpt](/tools/mmz-001-knowledge-gpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Archived (8%) | | Days since push | 1216d | 807d | | Archived on GitHub | No | Yes | | Open issues (now) | 8 | 16 | | Stars delta | 0 (30d) | -3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/geeks-of-data-knowledge-gpt/trust.md) | [trust report](/tools/mmz-001-knowledge-gpt/trust.md) | ## Decision facts: knowledge-gpt - **Adopt for:** knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers. ## Decision facts: knowledge_gpt - **Adopt for:** knowledge_gpt is a Python-based tool with Streamlit UI, MIT licensed, for generating accurate document responses with citations. ## Choose when ### Choose knowledge-gpt if… - Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers. - Also covers LLM Frameworks, Model Training. - When you need a flexible, model-agnostic approach for Q&A over diverse data sources ### Choose knowledge_gpt if… - Tags unique to knowledge_gpt: docker, document-analysis, python, streamlit. - When you need to generate answers from documents alongside instant citations - More GitHub stars (1.6k vs 291) - visibility, not fit. ## When NOT to use knowledge-gpt - Avoid if strictly needing real-time response performance without indexing capabilities - Not recommended if focusing solely on visual or multimedia content extraction ## When NOT to use knowledge_gpt - If your project exclusively requires web-based services without local deployments - In scenarios where real-time citation generation is not necessary ## Common questions ### What is the difference between knowledge-gpt and knowledge_gpt? knowledge-gpt: Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources.. knowledge_gpt: Accurate answers and instant citations for your documents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose knowledge-gpt over knowledge_gpt? Choose knowledge-gpt over knowledge_gpt when Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers; Also covers LLM Frameworks, Model Training; When you need a flexible, model-agnostic approach for Q&A over diverse data sources. ### When should I choose knowledge_gpt over knowledge-gpt? Choose knowledge_gpt over knowledge-gpt when Tags unique to knowledge_gpt: docker, document-analysis, python, streamlit; When you need to generate answers from documents alongside instant citations; More GitHub stars (1.6k vs 291) - visibility, not fit. ### When should I avoid knowledge-gpt? Avoid if strictly needing real-time response performance without indexing capabilities Not recommended if focusing solely on visual or multimedia content extraction ### When should I avoid knowledge_gpt? If your project exclusively requires web-based services without local deployments In scenarios where real-time citation generation is not necessary ### Is knowledge-gpt or knowledge_gpt more popular on GitHub? knowledge_gpt has more GitHub stars (1,634 vs 291). Stars measure visibility, not whether either tool fits your constraints. ### Are knowledge-gpt and knowledge_gpt open source? Yes - both are open-source projects on GitHub (knowledge-gpt: MIT, knowledge_gpt: MIT). ### Where can I find alternatives to knowledge-gpt or knowledge_gpt? GraphCanon lists graph-backed alternatives at [knowledge-gpt alternatives](/tools/geeks-of-data-knowledge-gpt/alternatives) and [knowledge_gpt alternatives](/tools/mmz-001-knowledge-gpt/alternatives) ([knowledge-gpt markdown twin](/tools/geeks-of-data-knowledge-gpt/alternatives.md), [knowledge_gpt markdown twin](/tools/mmz-001-knowledge-gpt/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/geeks-of-data-knowledge-gpt-vs-mmz-001-knowledge-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, knowledge-gpt or knowledge_gpt? knowledge-gpt: Dormant. knowledge_gpt: Archived. 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 knowledge-gpt and knowledge_gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [knowledge-gpt trust report](/tools/geeks-of-data-knowledge-gpt/trust); [knowledge_gpt trust report](/tools/mmz-001-knowledge-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=geeks-of-data-knowledge-gpt`](/api/graphcanon/graph?tool=geeks-of-data-knowledge-gpt) - 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/_