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Comprehensive integração AWS Tools for Every Need

Get access to integração AWS solutions that address multiple requirements. One-stop resources for streamlined workflows.

integração AWS

  • Amazon Bedrock Custom LangChain Agent

    A solution for building customizable AI agents with LangChain on AWS Bedrock, leveraging foundation models and custom tools.
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    What is Amazon Bedrock Custom LangChain Agent?
    Amazon Bedrock Custom LangChain Agent is a reference architecture and code example that shows how to build AI agents by combining AWS Bedrock foundation models with LangChain. You define a set of tools (APIs, databases, RAG retrievers), configure agent policies and memory, and invoke multi-step reasoning flows. It supports streaming outputs for low-latency user experiences, integrates callback handlers for monitoring, and ensures security via IAM roles. This approach accelerates deployment of intelligent assistants for customer support, data analysis, and workflow automation, all on the scalable AWS cloud.
    Amazon Bedrock Custom LangChain Agent Core Features
    • Integration with AWS Bedrock foundation models (Claude, Jurassic-2, Titan)
    • Custom tool creation and registration
    • LangChain Agent orchestration
    • In-memory and external memory support
    • Streaming response handling
    • Callback handlers for logging and monitoring
    • Secure IAM-based access control
    Amazon Bedrock Custom LangChain Agent Pro & Cons

    The Cons

    Some components like IAM roles and S3 bucket details are hard-coded, requiring manual adjustments.
    Relies on AWS ecosystem, which could limit usability to AWS users.
    Complexity in creating custom prompts and tool integrations may require advanced knowledge.
    No direct pricing information provided for the service usage.
    Dependency on LangChain and Streamlit might constrain deployment options.

    The Pros

    Provides a modular agent framework integrating AWS services with LLMs.
    Utilizes advanced vector search through Amazon Titan embeddings for enhanced document retrieval.
    Automates Lambda function deployment via programmatically controlled AWS SDK.
    Uses Streamlit for easy and interactive chatbot interface deployment.
    Code and agent design publicly available for custom modifications.

  • AWS Bedrock Retail Agent

    An AWS Bedrock-powered AI agent that answers retail customer queries, recommends products, and provides inventory info via chat.
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    What is AWS Bedrock Retail Agent?
    The AWS Bedrock Retail Agent is an end-to-end solution showcasing how to implement a generative AI-driven retail chatbot using AWS Bedrock services. It connects to product catalog data, leverages retrieval-augmented generation for accurate responses, and integrates with AWS Lambda and API Gateway for scalable deployment. With support for personalized recommendations, inventory status checks, and simulated order creation, it helps retailers enhance customer engagement and streamline operations. Built in TypeScript and React, it offers a customizable framework for embedding AI-powered chat functionality into e-commerce platforms.

  • Disco

    Disco is an open-source AWS framework for developing AI agents by orchestrating LLM calls, function executions, and event-driven workflows.
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    What is Disco?
    Disco streamlines AI agent development on AWS by providing an event-driven orchestration framework that connects language model responses to serverless functions, message queues, and external APIs. It offers pre-built connectors for AWS Lambda, Step Functions, SNS, SQS, and EventBridge, enabling easy routing of messages and action triggers based on LLM outputs. Disco’s modular design supports custom task definitions, retry logic, error handling, and real-time monitoring through CloudWatch. It leverages AWS IAM roles for secure access and provides built-in logging and tracing for observability. Ideal for chatbots, automated workflows, and agent-driven analytics pipelines, Disco delivers scalable, cost-efficient AI agent solutions.
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