--- title: "knowledge-gpt vs txtai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/geeks-of-data-knowledge-gpt-vs-neuml-txtai" tools: ["geeks-of-data-knowledge-gpt", "neuml-txtai"] --- # knowledge-gpt vs txtai *GraphCanon updated Sep 20, 2026* ## Verdict Pick knowledge-gpt if knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers; pick txtai if txtai is an all-in-one AI framework that supports semantic search, LLM orchestration, and language model workflows, making it suitable for projects that require comprehensive AI capabilities in Python. [knowledge-gpt](https://pypi.org/project/knowledgegpt/) reports 292 GitHub stars, 52 forks, and 8 open issues, last pushed Apr 25, 2023. [txtai](https://neuml.github.io/txtai) has 13k stars, 891 forks, and 10 open issues, last pushed Sep 15, 2026. Figures are from public GitHub metadata via [knowledge-gpt's repository](https://github.com/geeks-of-data/knowledge-gpt) and [txtai's repository](https://github.com/neuml/txtai). | | [knowledge-gpt](/tools/geeks-of-data-knowledge-gpt.md) | [txtai](/tools/neuml-txtai.md) | | --- | --- | --- | | Tagline | Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources. | All-in-one AI framework for semantic search, LLM orchestration and language model workflows | | Stars | 292 | 12,959 | | Forks | 52 | 891 | | Open issues | 8 | 10 | | Language | Python | Python | | Adopt for | knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers. | txtai is an all-in-one AI framework that supports semantic search, LLM orchestration, and language model workflows, making it suitable for projects that require comprehensive AI capabilities in Python. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval, Evaluation & Observability, LLM Frameworks, Model Training | AI Agents, Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [knowledge-gpt](/tools/geeks-of-data-knowledge-gpt.md) | [txtai](/tools/neuml-txtai.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1243d | 2d | | Open issues (now) | 8 | 10 | | Stars delta | +1 (30d) | +69 (30d) | | Full report | [trust report](/tools/geeks-of-data-knowledge-gpt/trust.md) | [trust report](/tools/neuml-txtai/trust.md) | ## Shared compatibility - **Python**: [knowledge-gpt](/tools/geeks-of-data-knowledge-gpt.md) - Python runtime; [txtai](/tools/neuml-txtai.md) - Python runtime ## Decision facts: knowledge-gpt - **Adopt for:** knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers. ## Decision facts: txtai - **Adopt for:** txtai is an all-in-one AI framework that supports semantic search, LLM orchestration, and language model workflows, making it suitable for projects that require comprehensive AI capabilities in Python. ## Choose when ### Choose knowledge-gpt if… - License: knowledge-gpt is MIT, txtai is Apache-2.0. - Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers. - Also covers LLM Frameworks. - knowledge-gpt ships Docker support for self-hosted deployment. - When you need a flexible, model-agnostic approach for Q&A over diverse data sources ### Choose txtai if… - License: txtai is Apache-2.0, knowledge-gpt is MIT. - Tags unique to txtai: agents, ai, ai-agents, embeddings. - Also covers AI Agents, Inference & Serving, Vector Databases. - When you need a comprehensive framework that integrates semantic search, LLM orchestration, and language model workflows in a single package. ## 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 txtai - If your project strictly requires a framework that is not Python-based, as txtai is specifically designed for Python environments. - When you need a tool that focuses solely on a specific aspect of AI, such as only semantic search or only LLM orchestration, as txtai's all-in-one approach might introduce unnecessary complexity. - If your project cannot accommodate the Apache-2.0 license, as txtai is distributed under this license and may not be suitable for projects with different licensing requirements. ## Common questions ### What is the difference between knowledge-gpt and txtai? knowledge-gpt: Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources.. txtai: All-in-one AI framework for semantic search, LLM orchestration and language model workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose knowledge-gpt over txtai? Choose knowledge-gpt over txtai when License: knowledge-gpt is MIT, txtai is Apache-2.0; Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers; Also covers LLM Frameworks; knowledge-gpt ships Docker support for self-hosted deployment; When you need a flexible, model-agnostic approach for Q&A over diverse data sources. ### When should I choose txtai over knowledge-gpt? Choose txtai over knowledge-gpt when License: txtai is Apache-2.0, knowledge-gpt is MIT; Tags unique to txtai: agents, ai, ai-agents, embeddings; Also covers AI Agents, Inference & Serving, Vector Databases; When you need a comprehensive framework that integrates semantic search, LLM orchestration, and language model workflows in a single package. ### 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 txtai? If your project strictly requires a framework that is not Python-based, as txtai is specifically designed for Python environments. When you need a tool that focuses solely on a specific aspect of AI, such as only semantic search or only LLM orchestration, as txtai's all-in-one approach might introduce unnecessary complexity. If your project cannot accommodate the Apache-2.0 license, as txtai is distributed under this license and may not be suitable for projects with different licensing requirements. ### Is knowledge-gpt or txtai more popular on GitHub? txtai has more GitHub stars (12,959 vs 292). Stars measure visibility, not whether either tool fits your constraints. ### Are knowledge-gpt and txtai open source? Yes - both are open-source projects on GitHub (knowledge-gpt: MIT, txtai: Apache-2.0). ### Where can I find alternatives to knowledge-gpt or txtai? GraphCanon lists graph-backed alternatives at [knowledge-gpt alternatives](/tools/geeks-of-data-knowledge-gpt/alternatives) and [txtai alternatives](/tools/neuml-txtai/alternatives) ([knowledge-gpt markdown twin](/tools/geeks-of-data-knowledge-gpt/alternatives.md), [txtai markdown twin](/tools/neuml-txtai/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-neuml-txtai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, knowledge-gpt or txtai? knowledge-gpt: Dormant. txtai: 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 knowledge-gpt and txtai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [knowledge-gpt trust report](/tools/geeks-of-data-knowledge-gpt/trust); [txtai trust report](/tools/neuml-txtai/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/_