--- title: "knowledge-gpt vs search_with_lepton" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/geeks-of-data-knowledge-gpt-vs-leptonai-search-with-lepton" tools: ["geeks-of-data-knowledge-gpt", "leptonai-search-with-lepton"] --- # knowledge-gpt vs search_with_lepton *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 search_with_lepton if **search_with_lepton** is a TypeScript-based conversational search demo integrating Lepton AI's LLM and offering flexible backend options like Bing, Google SearchAPI, Serper, or Programmable Search Engine. [knowledge-gpt](https://pypi.org/project/knowledgegpt/) reports 291 GitHub stars, 52 forks, and 8 open issues, last pushed Apr 25, 2023. [search_with_lepton](https://search.lepton.run) has 8.1k stars, 998 forks, and 44 open issues, last pushed Dec 2, 2025. Figures are from public GitHub metadata via [knowledge-gpt's repository](https://github.com/geeks-of-data/knowledge-gpt) and [search_with_lepton's repository](https://github.com/leptonai/search_with_lepton). | | [knowledge-gpt](/tools/geeks-of-data-knowledge-gpt.md) | [search_with_lepton](/tools/leptonai-search-with-lepton.md) | | --- | --- | --- | | Tagline | Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources. | Building a quick conversation-based search demo with Lepton AI. | | Stars | 291 | 8,081 | | Forks | 52 | 998 | | Open issues | 8 | 44 | | Language | Python | TypeScript | | Adopt for | knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers. | **search_with_lepton** is a TypeScript-based conversational search demo integrating Lepton AI's LLM and offering flexible backend options like Bing, Google SearchAPI, Serper, or Programmable Search Engine. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 license, providing freedom to use, modify and distribute the software while requiring preservation of copyright notices. | | Categories | Data & Retrieval, Evaluation & Observability, LLM Frameworks, Model Training | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [knowledge-gpt](/tools/geeks-of-data-knowledge-gpt.md) | [search_with_lepton](/tools/leptonai-search-with-lepton.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Archived (8%) | | Days since push | 1216d | 248d | | Archived on GitHub | No | Yes | | Open issues (now) | 8 | 44 | | Stars delta | 0 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/geeks-of-data-knowledge-gpt/trust.md) | [trust report](/tools/leptonai-search-with-lepton/trust.md) | ## Shared compatibility - **Python**: [knowledge-gpt](/tools/geeks-of-data-knowledge-gpt.md) - Python runtime; [search_with_lepton](/tools/leptonai-search-with-lepton.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: search_with_lepton - **Adopt for:** **search_with_lepton** is a TypeScript-based conversational search demo integrating Lepton AI's LLM and offering flexible backend options like Bing, Google SearchAPI, Serper, or Programmable Search Engine. - **License detail:** Apache-2.0 license, providing freedom to use, modify and distribute the software while requiring preservation of copyright notices. ## Choose when ### Choose knowledge-gpt if… - knowledge-gpt is primarily Python; search_with_lepton is TypeScript. - License: knowledge-gpt is MIT, search_with_lepton is Apache-2.0. - Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers. - Also covers Evaluation & Observability, Model Training. - 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 search_with_lepton if… - search_with_lepton is primarily TypeScript; knowledge-gpt is Python. - License: search_with_lepton is Apache-2.0, knowledge-gpt is MIT. - Tags unique to search_with_lepton: ai-applications, bing-api, conversational-search, google-search. - - When you need a quick prototype of a conversation-driven search engine leveraging Lepton AI. ## 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 search_with_lepton - - Avoid if your project strictly requires only native integration with other LLMs besides Lepton AI as this tool is tightly coupled with it. - - Not recommended if you aim to build a large-scale production system as the demo focuses on rapid development rather than high throughput or enterprise-level robustness. ## Common questions ### What is the difference between knowledge-gpt and search_with_lepton? knowledge-gpt: Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources.. search_with_lepton: Building a quick conversation-based search demo with Lepton AI.. See the comparison table for live GitHub stats and shared categories. ### When should I choose knowledge-gpt over search_with_lepton? Choose knowledge-gpt over search_with_lepton when knowledge-gpt is primarily Python; search_with_lepton is TypeScript; License: knowledge-gpt is MIT, search_with_lepton is Apache-2.0; Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers; Also covers Evaluation & Observability, Model Training; 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 search_with_lepton over knowledge-gpt? Choose search_with_lepton over knowledge-gpt when search_with_lepton is primarily TypeScript; knowledge-gpt is Python; License: search_with_lepton is Apache-2.0, knowledge-gpt is MIT; Tags unique to search_with_lepton: ai-applications, bing-api, conversational-search, google-search; - When you need a quick prototype of a conversation-driven search engine leveraging Lepton AI. ### 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 search_with_lepton? - Avoid if your project strictly requires only native integration with other LLMs besides Lepton AI as this tool is tightly coupled with it. - Not recommended if you aim to build a large-scale production system as the demo focuses on rapid development rather than high throughput or enterprise-level robustness. ### Is knowledge-gpt or search_with_lepton more popular on GitHub? search_with_lepton has more GitHub stars (8,081 vs 291). Stars measure visibility, not whether either tool fits your constraints. ### Are knowledge-gpt and search_with_lepton open source? Yes - both are open-source projects on GitHub (knowledge-gpt: MIT, search_with_lepton: Apache-2.0). ### Where can I find alternatives to knowledge-gpt or search_with_lepton? GraphCanon lists graph-backed alternatives at [knowledge-gpt alternatives](/tools/geeks-of-data-knowledge-gpt/alternatives) and [search_with_lepton alternatives](/tools/leptonai-search-with-lepton/alternatives) ([knowledge-gpt markdown twin](/tools/geeks-of-data-knowledge-gpt/alternatives.md), [search_with_lepton markdown twin](/tools/leptonai-search-with-lepton/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-leptonai-search-with-lepton.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, knowledge-gpt or search_with_lepton? knowledge-gpt: Dormant. search_with_lepton: 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 search_with_lepton? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [knowledge-gpt trust report](/tools/geeks-of-data-knowledge-gpt/trust); [search_with_lepton trust report](/tools/leptonai-search-with-lepton/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/_