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Ultimate RAG systems Solutions for Everyone

Discover all-in-one RAG systems tools that adapt to your needs. Reach new heights of productivity with ease.

RAG systems

  • Controllable RAG Agent

    An open-source Python framework to build Retrieval-Augmented Generation agents with customizable control over retrieval and response generation.
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    What is Controllable RAG Agent?
    The Controllable RAG Agent framework provides a modular approach to building Retrieval-Augmented Generation systems. It allows you to configure and chain retrieval components, memory modules, and generation strategies. Developers can plug in different LLMs, vector databases, and policy controllers to adjust how documents are fetched and processed before generation. Built on Python, it includes utilities for indexing, querying, conversation history tracking, and action-based control flows, making it ideal for chatbots, knowledge assistants, and research tools.

  • SciPhi

    Effortlessly build, deploy, and scale Retrieval-Augmented Generation (RAG) systems.
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    What is SciPhi?
    SciPhi is an open-source platform designed to simplify the building, deploying, and scaling of Retrieval-Augmented Generation (RAG) systems. It provides an end-to-end solution for developers, enabling them to focus on AI innovation without worrying about the underlying infrastructure. With tools for automated knowledge graph extraction, document and user management, and robust observability, SciPhi ensures efficient and optimized RAG system deployment.
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