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數據儲存解決方案

  • LanceDB simplifies database management and AI model integration.
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    What is LanceDB?
    LanceDB is a specialized database optimized for AI applications, allowing users to store and retrieve vast amounts of data efficiently. It supports various data types and provides powerful indexing capabilities to enhance search speed. With LanceDB, users can seamlessly integrate AI models, making it an excellent choice for developers and data scientists looking to streamline their workflows and enhance their applications with intelligent data processing.
    LanceDB Core Features
    • AI model integration
    • Fast data retrieval
    • Efficient data storage
    • Powerful indexing
    LanceDB Pro & Cons

    The Cons

    The Pros

    First open-source AI-native multimodal lakehouse built for enterprise scale
    Supports multimodal data including images, voice, and vectors
    High-performance hybrid search and embedding pipelines
    Automated and versioned feature engineering with native LLM-as-UDF support
    Optimized training pipelines compatible with PyTorch and JAX
    Enterprise-grade compliance with SOC2 Type II, GDPR, and HIPAA
    Massive scalability with cost efficiencies and high query per second capacity
    LanceDB Pricing
    Has free planYES
    Free trial detailsFree Credits (one-time) $100.00
    Pricing modelPay-as-you-go
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    LanceDB Cloud

    6.2 USD
    • Serverless retrieval with nothing to manage
    • Intuitive UI to explore your data
    • Automatic indexing and compaction
    • Python, TypeScript, and Rust SDKs

    LanceDB Enterprise

    0 USD
    • Complete control of your data
    • Multimodal SQL engine
    • Distributed data pre-processing engine
    • Optimized training infrastructure
    • Dedicated resources
    • Deploy on any cloud
    For the latest prices, please visit: https://lancedb.com/pricing.html
  • Steel is a production-ready framework for LLM agents, offering memory, tools integration, caching, and observability for apps.
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    What is Steel?
    Steel is a developer-centric framework designed to accelerate the creation and operation of LLM-powered agents in production environments. It offers provider-agnostic connectors for major model APIs, an in-memory and persistent memory store, built-in tool invocation patterns, automatic caching of responses, and detailed tracing for observability. Developers can define complex agent workflows, integrate custom tools (e.g., search, database queries, and external APIs), and handle streaming outputs. Steel abstracts the complexity of orchestration, allowing teams to focus on business logic and rapidly iterate on AI-driven applications.
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