Rag Web Browser

Rag Web Browser

Open-source web search and browsing for LLMs, agents, and RAG pipelines.

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About Rag Web Browser

RAG Web Browser is a flexible and open source tool for AI agents and LLM applications to perform real-time web searches and retrieve up-to-date web content. It supports Google Search queries or direct URLs, crawls top results, processes JavaScript-heavy sites using a headless browser, and delivers clean text, Markdown, or HTML for use in retrieval-augmented generation (RAG) pipelines. It is especially tailored for seamless integration into LLM applications, OpenAI Assistants, GPTs, and supports the Model Context Protocol (MCP) for advanced agent workflows.

Resources

Product Website

Visit Rag Web Browser's official website for product details and getting started.

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Documentation

Comprehensive guides and API references for using RAG Web Browser effectively.

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Blog

Insights and updates on using RAG Web Browser and its applications in AI.

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Pricing

Details on the pricing plans available for RAG Web Browser and related services.

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