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Comprehensive integración de modelos de lenguaje grande Tools for Every Need

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integración de modelos de lenguaje grande

  • X AI Agent

    An open-source Python framework to build custom AI agents with LLM-driven reasoning, memory, and tool integrations.
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    What is X AI Agent?
    X AI Agent is a developer-focused framework that simplifies building custom AI agents using large language models. It provides native support for function calling, memory storage, tool and plugin integration, chain-of-thought reasoning, and orchestration of multi-step tasks. Users can define custom actions, connect external APIs, and maintain conversational context across sessions. The framework’s modular design ensures extensibility and allows seamless integration with popular LLM providers, enabling robust automation and decision-making workflows.
    X AI Agent Core Features
    • LLM integration with function calling
    • Contextual memory management
    • Plugin and tool architecture
    • Chain-of-thought reasoning
    • Multi-step task orchestration

  • Multi-Agent-RAG

    Open-source Python framework orchestrating multiple AI agents for retrieval and generation in RAG workflows.
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    What is Multi-Agent-RAG?
    Multi-Agent-RAG provides a modular framework for constructing retrieval-augmented generation (RAG) applications by orchestrating multiple specialized AI agents. Developers configure individual agents: a retrieval agent connects to vector stores to fetch relevant documents; a reasoning agent performs chain-of-thought analysis; and a generation agent synthesizes final responses using large language models. The framework supports plugin extensions, configurable prompts, and comprehensive logging, enabling seamless integration with popular LLM APIs and vector databases to improve RAG accuracy, scalability, and development efficiency.
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