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Comprehensive desenvolvimento de chatbots de IA Tools for Every Need

Get access to desenvolvimento de chatbots de IA solutions that address multiple requirements. One-stop resources for streamlined workflows.

desenvolvimento de chatbots de IA

  • 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.
    Controllable RAG Agent Core Features
    • Modular RAG pipeline with retriever, memory, and generator components
    • Support for FAISS, Pinecone, and custom vector stores
    • Customizable policy controllers for retrieval and generation
    • Conversation history and memory management
    • Plugin system for extending behaviors and actions

  • CrewAI Quickstart

    CrewAI Quickstart provides a Node.js template to rapidly configure, run, and manage conversational AI agents via CrewAI API.
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    What is CrewAI Quickstart?
    CrewAI Quickstart is a developer toolkit designed to streamline the creation and deployment of AI-driven conversational agents using the CrewAI framework. It offers a preconfigured Node.js environment, example scripts for interacting with CrewAI APIs, and best-practice patterns for prompt design, agent orchestration, and error handling. With this quickstart, teams can prototype chatbots, automate workflows, and integrate AI assistants into existing applications in minutes, reducing boilerplate code and ensuring consistency across projects.

  • OpenKBS Apps

    A web platform to build AI-powered knowledge base agents via document ingestion and vector-driven conversational search.
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    What is OpenKBS Apps?
    OpenKBS Apps provides a unified interface to upload and process documents, generate semantic embeddings, and configure multiple LLMs for retrieval-augmented generation. Users can fine-tune query workflows, set access controls, and integrate agents into web or messaging channels. The platform offers analytics on user interactions, continuous learning from feedback, and support for multilingual content, enabling rapid creation of intelligent assistants tailored to organizational data.
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