Weaviate is an open-source vector database designed to store and index both data objects and their vector embeddings. This architecture enables advanced semantic search capabilities by …

Weaviate is an open-source, cloud-native vector database that stores both objects and vectors, enabling semantic search at scale. It combines vector similarity search with keyword filtering, …

Weaviate is an open source database of the type vector search engine. Weaviate allows you to store JSON documents in a class property-like fashion while attaching machine learning …

Weaviate is an open-source vector database that simplifies the development of AI applications. Built-in vector and hybrid search, easy-to-connect machine learning models, and a focus on …

Feb 13, 2023 · Weaviate is an open-source vector search engine (docs - Github) that can store and search through OpenAI embeddings and data objects. Th...

A Weaviate vector database can search text, images, or a combination of both. Fast vector search provides a foundation for chatbots, recommendation systems, summarizers, and classification …

The Weaviate Query Agent is a pre-built agentic service designed to answer natural language queries based on the data stored in Weaviate Cloud. The user simply provides a …

Jul 18, 2023 · You can run Weaviate either on your own instances (using Docker, Kubernetes, or Embedded Weaviate) or as a managed service using Weaviate Cloud Services (WCS). For …

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a …

Explore our concise guides to configure, manage, and query Weaviate. Whether you’re setting up advanced configurations or handling data operations, our step-by-step instructions and …