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Aplicações orientadas a dados

  • Build robust data infrastructure with Neum AI for Retrieval Augmented Generation and Semantic Search.
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    What is Neum AI?
    Neum AI provides an advanced framework for constructing data infrastructures tailored for Retrieval Augmented Generation (RAG) and Semantic Search applications. This cloud platform features distributed architecture, real-time syncing, and robust observability tools. It helps developers quickly and efficiently set up pipelines and seamlessly connect to vector stores. Whether you're processing text, images, or other data types, Neum AI's system ensures deep integration and optimized performance for your AI applications.
    Neum AI Core Features
    • Distributed architecture
    • Real-time syncing
    • Robust observability tools
    • Seamless integration with vector stores
    Neum AI Pro & Cons

    The Cons

    Pricing details for enterprise and pro tiers require demo booking, which may slow down evaluation
    Limited information on user interface and ease of use for non-technical users
    No mobile apps or extensions mentioned, potentially limiting accessibility
    May require technical expertise to implement and customize effectively

    The Pros

    Open-source SDKs enabling flexible data pipeline composition
    Built-in connectors for various common data sources and models
    Supports both local testing and scalable cloud deployment
    Highly scalable architecture optimized for large-scale embedding ingestion
    Features real-time synchronization, observability, smart retrieval, and governance
    Active development with community engagement on GitHub
    Neum AI Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://neum.ai/pricing
  • UbiOps simplifies AI model serving and orchestration.
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    What is UbiOps?
    UbiOps is an AI infrastructure platform designed for data scientists and developers who want to streamline the deployment of their AI and ML models. With UbiOps, users can turn their code into live services with minimal effort, benefiting from features like automatic scaling, load balancing, and monitoring. This flexibility allows teams to focus on building and optimizing their models rather than dealing with infrastructure complexities. It supports various programming languages and integrates seamlessly with existing workflows and systems, making it a versatile choice for AI-driven projects.
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