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Weaviate

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Empower AI app development with scalable vector search.

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Developer Big Data Database

Overview

Weaviate is an AI-native database that empowers developers to build and scale AI applications in production. It is an open-source vector database with over 1M monthly downloads.

Key Features:

  • Open Source Vector Database
  • Hybrid Search (keyword and vector search)
  • GraphQL query language

Use Cases:

  • RAG (Retrieval-Augmented Generation)
  • Hybrid Search
  • Building ChatGPT services with embeddings

Benefits:

  • Flexibility in schema definition
  • Easy to use and set up
  • Fast development of generative AI applications

Capabilities

  • Simplifies complex data workflows using AI-driven orchestration.
  • Enriches and augments datasets at scale with LLMs.
  • Leverages LLMs for decision-making and task orchestration.
  • Interacts with the environment through tools and APIs for data retrieval and manipulation.
  • Offers pre-built agentic services for specific tasks (Query, Transformation, and Personalization Agents).
  • Translates user queries into precise, filterable searches.
  • Creates new product descriptions using collected data and natural language prompts.
  • Dynamically re-ranks results based on user context and past interactions.
  • Automates data transformation tasks using natural language prompts.
  • Personalizes user experiences by dynamically recommending or re-ranking results.

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