A Chrome extension for asking questions on the website, supporting local running and vector storage.
Site RAG is a Chrome extension designed to use natural language processing to help users quickly get answers to their questions while browsing the web. It supports querying the current page content as context, and can also index the entire website content into a vector database for subsequent retrieval enhancement generation (RAG). The product runs entirely in the local browser, ensuring user data security, while supporting connections to locally running Ollama instances for inference. It is mainly targeted at users who need to quickly extract information from web content, such as developers, researchers, and students. The product is currently available for free and is suitable for users who want instant help while browsing the web.
This product is suitable for users who need to quickly extract information from web content, such as developers, researchers, and students. It can help users quickly obtain answers to questions while browsing the web and improve work efficiency. Site RAG provides powerful functional support for users who need to index and query large amounts of web content.
When users browse technical documents, they can quickly query specific technical issues in the documents through Site RAG.
When researchers browse academic websites, they use Site RAG to index the entire website content and conduct in-depth research later.
During the learning process, students use Site RAG to index course-related web pages to facilitate review and query.
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