--- title: "paper-qa vs khoj" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-house-paper-qa-vs-khoj-ai-khoj" tools: ["future-house-paper-qa", "khoj-ai-khoj"] --- # paper-qa vs khoj Neutral, constraint-first comparison with live GitHub stats. | | [paper-qa](/tools/future-house-paper-qa.md) | [khoj](/tools/khoj-ai-khoj.md) | | --- | --- | --- | | Tagline | High accuracy RAG for answering questions from scientific documents with citations | Your AI second brain | | Stars | 8,837 | 35,524 | | Forks | 887 | 2,289 | | Open issues | 140 | 117 | | Language | Python | Python | | Adopt for | PaperQA2 is a specialized high-accuracy RAG tool for answering questions from scientific documents with citations. | khoj is an AI application that extends personal capabilities via web searches or document retrieval, supporting self-hosting. It can integrate with various tools and formats. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - The software can be used for any purpose, including commercial purposes, and modified to comply with the Apache License terms. | AGPL-3.0 | | Categories | Data & Retrieval | AI Agents, Evaluation & Observability, Data & Retrieval, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [paper-qa](/tools/future-house-paper-qa.md) | [khoj](/tools/khoj-ai-khoj.md) | | --- | --- | --- | | Days since push | 9d | 13d | | Open issues (now) | 140 | 117 | | Security scan | Not scanned | No lockfile | | Full report | [trust report](/tools/future-house-paper-qa/trust.md) | [trust report](/tools/khoj-ai-khoj/trust.md) | **Typed relationship:** paper-qa _(alternative)_ khoj Both PaperQA2 and Khoj aim at enhancing personal productivity by integrating RAG with user documents for enhanced recall and knowledge access. ## Decision facts: paper-qa - **Requirements:** Min 4 GB RAM; Supports multiple document types like PDFs, text files, Microsoft Office documents, and source code.; Requires a setup for various document indexing and handling. - **Adopt for:** PaperQA2 is a specialized high-accuracy RAG tool for answering questions from scientific documents with citations. - **License detail:** Apache-2.0 - The software can be used for any purpose, including commercial purposes, and modified to comply with the Apache License terms. ## Decision facts: khoj - **Pricing:** freemium - khoj offers a free self-hosted version. For enterprise-level services with additional support options, pricing details can be found on their official website. - **Requirements:** Min 4 GB RAM; Requires Python environment for self-hosting.; Can also be accessed via its cloud app without local setup. - **Adopt for:** khoj is an AI application that extends personal capabilities via web searches or document retrieval, supporting self-hosting. It can integrate with various tools and formats. ## Choose when ### Choose paper-qa if… - License: paper-qa is Apache-2.0, khoj is AGPL-3.0. - Requirements: Min 4 GB RAM; Supports multiple document types like PDFs, text files, Microsoft Office documents, and source code.; Requires a setup for various document indexing and handling.. - Both PaperQA2 and Khoj aim at enhancing personal productivity by integrating RAG with user documents for enhanced recall and knowledge access. - Tags unique to paper-qa: science, search, rag. - - You require precise and high-quality responses from scientific literature. ### Choose khoj if… - License: khoj is AGPL-3.0, paper-qa is Apache-2.0. - Pricing: khoj offers a free self-hosted version. For enterprise-level services with additional support options, pricing details can be found on their official website.. - Requirements: Min 4 GB RAM; Requires Python environment for self-hosting.; Can also be accessed via its cloud app without local setup.. - Both PaperQA2 and Khoj aim at enhancing personal productivity by integrating RAG with user documents for enhanced recall and knowledge access. - Tags unique to khoj: assistant, chat, self-hosted, semantic-search. - Also covers AI Agents, Evaluation & Observability, Inference & Serving. - khoj ships Docker support for self-hosted deployment. - When you need to personalize your assistant by creating custom agents tailored to specific roles or tasks. ## When NOT to use paper-qa - - You are working in a domain beyond scientific literature where the emphasis on accuracy for scientific tasks is less critical. - - If you need features not covered by PaperQA2 such as real-time data retrieval or analysis from non-scientific documents, look elsewhere. - - For users who require open-source options and prefer licenses other than Apache-2.0. ## When NOT to use khoj - When requiring an out-of-the-box, no-setup-needed AI tool for all use cases as khoj has a significant setup process for full personalization and control. - If your primary need is solely image generation or simple document viewing without any customizations or smart notifications, since khoj's strengths lie in its extensive customization options and deep - automation capabilities. ## Common questions ### What is the difference between paper-qa and khoj? paper-qa: High accuracy RAG for answering questions from scientific documents with citations. khoj: Your AI second brain. See the comparison table for live GitHub stats and shared categories. ### When should I choose paper-qa over khoj? Choose paper-qa over khoj when License: paper-qa is Apache-2.0, khoj is AGPL-3.0; Requirements: Min 4 GB RAM; Supports multiple document types like PDFs, text files, Microsoft Office documents, and source code.; Requires a setup for various document indexing and handling.; Both PaperQA2 and Khoj aim at enhancing personal productivity by integrating RAG with user documents for enhanced recall and knowledge access; Tags unique to paper-qa: science, search, rag; - You require precise and high-quality responses from scientific literature. ### When should I choose khoj over paper-qa? Choose khoj over paper-qa when License: khoj is AGPL-3.0, paper-qa is Apache-2.0; Pricing: khoj offers a free self-hosted version. For enterprise-level services with additional support options, pricing details can be found on their official website.; Requirements: Min 4 GB RAM; Requires Python environment for self-hosting.; Can also be accessed via its cloud app without local setup.; Both PaperQA2 and Khoj aim at enhancing personal productivity by integrating RAG with user documents for enhanced recall and knowledge access; Tags unique to khoj: assistant, chat, self-hosted, semantic-search; Also covers AI Agents, Evaluation & Observability, Inference & Serving; khoj ships Docker support for self-hosted deployment; When you need to personalize your assistant by creating custom agents tailored to specific roles or tasks. ### When should I avoid paper-qa? - You are working in a domain beyond scientific literature where the emphasis on accuracy for scientific tasks is less critical. - If you need features not covered by PaperQA2 such as real-time data retrieval or analysis from non-scientific documents, look elsewhere. - For users who require open-source options and prefer licenses other than Apache-2.0. ### When should I avoid khoj? When requiring an out-of-the-box, no-setup-needed AI tool for all use cases as khoj has a significant setup process for full personalization and control. If your primary need is solely image generation or simple document viewing without any customizations or smart notifications, since khoj's strengths lie in its extensive customization options and deep automation capabilities. ### Is paper-qa or khoj more popular on GitHub? khoj has more GitHub stars (35,524 vs 8,837). Stars measure visibility, not whether either tool fits your constraints. ### Are paper-qa and khoj open source? Yes - both are open-source projects on GitHub (paper-qa: Apache-2.0, khoj: AGPL-3.0). ### Where can I find alternatives to paper-qa or khoj? GraphCanon lists graph-backed alternatives at /tools/future-house-paper-qa/alternatives and /tools/khoj-ai-khoj/alternatives (/tools/future-house-paper-qa/alternatives.md, /tools/khoj-ai-khoj/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 /compare/future-house-paper-qa-vs-khoj-ai-khoj.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, paper-qa or khoj? paper-qa: Active. khoj: 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 paper-qa and khoj? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paper-qa: /tools/future-house-paper-qa/trust; khoj: /tools/khoj-ai-khoj/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-house-paper-qa`](/api/graphcanon/graph?tool=future-house-paper-qa) - 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/_