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Alternatives

Products that do what RAGus.ai does

AI Knowledge bases | Website Scraper for Vector Databases

  1. 1TA

    I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...

    2024 · embedding.io

  2. 2

    Complete RAG agents (chatbot, MCP) with little or no code

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  3. 3HW

    TL;DR: Vector-based RAG performs poorly for many real-world applications like codebase chats, and you should consider 'language maps'. Part of our mission at Mutable.ai is to make it much easier for developers to build and understand software. One of the natural ways to do this is to create a codebase chat, that answer questions about your repo and help you build features. It might seem simple to plug in your codebase into a state-of-the-art LLM, but LLMs have two limitations that make human-level assistance with code difficult: 1. They currently have context windows that are too small to…

    2024 · twitter.com

  4. 4
    Ragie299

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  5. 5

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  6. 6
    Browse AI546

    Train a robot to scrape any website in 2 mins with no-code

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  7. 7
    Bloc357

    Turn your knowledge base to AI chat in 2 minutes and share

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  8. 8

    APIs for building AI chat and search

    Feb 2026 · agentset.ai

  9. 9

    Scrape websites with AI using no-code

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  10. 10
    RAGaaS75

    The API for building production-ready AI apps with your data

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    SCRAPR260

    The data layer for the agentic web

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  12. 12IB

    We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…

    2025 · blog.kuzudb.com

  13. 13

    RAG made effortless, just drag, drop, and connect

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  14. 14

    Automate website data extraction in a few clicks

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    Super RAG114

    Super performant RAG pipelines for AI apps

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    aoyo.ai126

    The new AI search

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    Ragna130

    100% private AI chatbot for desktop

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  18. 18RB

    2023 · github.com

  19. 19

    Trusted AI answers with citations, deployed in days

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  20. 20

    RAG-ready web scraping that cuts your LLM token costs

    Apr 2026 · geekflare.com

  21. 21SA
  22. 22

    Build AI chatbots with RAG, multi-LLM Human Handover no-code

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  23. 23

    Smarter RAG with Agentic Retrieval & Context-Aware MCP

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  24. 24

    AI-driven knowledge intelligence

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