--- title: "paper-qa vs chatWeb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-house-paper-qa-vs-skywalkerdarren-chatweb" tools: ["future-house-paper-qa", "skywalkerdarren-chatweb"] --- # paper-qa vs chatWeb Neutral, constraint-first comparison with live GitHub stats. | | [paper-qa](/tools/future-house-paper-qa.md) | [chatWeb](/tools/skywalkerdarren-chatweb.md) | | --- | --- | --- | | Tagline | High accuracy RAG for answering questions from scientific documents with citations | Web and document content extraction & summarization with question answering capabilities | | Stars | 8,837 | 913 | | Forks | 887 | 137 | | Open issues | 140 | 7 | | Language | Python | Python | | Adopt for | PaperQA2 is a specialized high-accuracy RAG tool for answering questions from scientific documents with citations. | ChatWeb is designed for extracting and summarizing content from web pages, PDFs, DOCX, and TXT files using GPT-3.5 embeddings with a vector database back-end | | 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. | MIT | | Categories | Data & Retrieval | Data & Retrieval, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [paper-qa](/tools/future-house-paper-qa.md) | [chatWeb](/tools/skywalkerdarren-chatweb.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 9d | 43d | | Open issues (now) | 140 | 7 | | Owner type | Organization | User | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/future-house-paper-qa/trust.md) | [trust report](/tools/skywalkerdarren-chatweb/trust.md) | **Typed relationship:** paper-qa _(alternative)_ chatWeb Both ChatWeb and PaperQA2 offer content extraction, summarization, and question answering capabilities, focusing on working with document information. ## Shared compatibility - **Python**: [paper-qa](/tools/future-house-paper-qa.md) - Python runtime; [chatWeb](/tools/skywalkerdarren-chatweb.md) - Python runtime ## 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: chatWeb - **Adopt for:** ChatWeb is designed for extracting and summarizing content from web pages, PDFs, DOCX, and TXT files using GPT-3.5 embeddings with a vector database back-end ## Choose when ### Choose paper-qa if… - License: paper-qa is Apache-2.0, chatWeb is MIT. - 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 ChatWeb and PaperQA2 offer content extraction, summarization, and question answering capabilities, focusing on working with document information. - Tags unique to paper-qa: science, search, rag. - - You require precise and high-quality responses from scientific literature. ### Choose chatWeb if… - License: chatWeb is MIT, paper-qa is Apache-2.0. - Both ChatWeb and PaperQA2 offer content extraction, summarization, and question answering capabilities, focusing on working with document information. - Tags unique to chatWeb: news-extractor, gpt-35-turbo, crawler, chatgpt. - Also covers Inference & Serving. - chatWeb ships Docker support for self-hosted deployment. - - Use ChatWeb when you need to extract and summarize information from multiple file formats (web pages, PDF, DOCX, TXT) in an automated manner by leveraging GPT-3.5 for analysis. ## 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 chatWeb - - Avoid using ChatWeb when you need real-time responses or high-frequency API calls since it relies on GPT-3.5 which has limitations on throughput and rate limits. - - Do not use for tasks where the content format is unsupported by the tool (e.g., JPG, PNG files that require OCR) as it can only process web text, PDFs, DOCX, and TXT files. - - If you have strict data privacy concerns, especially regarding handling sensitive information in conjunction with external APIs like OpenAI's (due to potential cloud storage or processing), consider ## Common questions ### What is the difference between paper-qa and chatWeb? paper-qa: High accuracy RAG for answering questions from scientific documents with citations. chatWeb: Web and document content extraction & summarization with question answering capabilities. See the comparison table for live GitHub stats and shared categories. ### When should I choose paper-qa over chatWeb? Choose paper-qa over chatWeb when License: paper-qa is Apache-2.0, chatWeb is MIT; 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 ChatWeb and PaperQA2 offer content extraction, summarization, and question answering capabilities, focusing on working with document information; Tags unique to paper-qa: science, search, rag; - You require precise and high-quality responses from scientific literature. ### When should I choose chatWeb over paper-qa? Choose chatWeb over paper-qa when License: chatWeb is MIT, paper-qa is Apache-2.0; Both ChatWeb and PaperQA2 offer content extraction, summarization, and question answering capabilities, focusing on working with document information; Tags unique to chatWeb: news-extractor, gpt-35-turbo, crawler, chatgpt; Also covers Inference & Serving; chatWeb ships Docker support for self-hosted deployment; - Use ChatWeb when you need to extract and summarize information from multiple file formats (web pages, PDF, DOCX, TXT) in an automated manner by leveraging GPT-3.5 for analysis. ### 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 chatWeb? - Avoid using ChatWeb when you need real-time responses or high-frequency API calls since it relies on GPT-3.5 which has limitations on throughput and rate limits. - Do not use for tasks where the content format is unsupported by the tool (e.g., JPG, PNG files that require OCR) as it can only process web text, PDFs, DOCX, and TXT files. - If you have strict data privacy concerns, especially regarding handling sensitive information in conjunction with external APIs like OpenAI's (due to potential cloud storage or processing), consider ### Is paper-qa or chatWeb more popular on GitHub? paper-qa has more GitHub stars (8,837 vs 913). Stars measure visibility, not whether either tool fits your constraints. ### Are paper-qa and chatWeb open source? Yes - both are open-source projects on GitHub (paper-qa: Apache-2.0, chatWeb: MIT). ### Where can I find alternatives to paper-qa or chatWeb? GraphCanon lists graph-backed alternatives at /tools/future-house-paper-qa/alternatives and /tools/skywalkerdarren-chatweb/alternatives (/tools/future-house-paper-qa/alternatives.md, /tools/skywalkerdarren-chatweb/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-skywalkerdarren-chatweb.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, paper-qa or chatWeb? paper-qa: Active. chatWeb: Steady. 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 chatWeb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paper-qa: /tools/future-house-paper-qa/trust; chatWeb: /tools/skywalkerdarren-chatweb/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/_