With over 20M open source downloads and thousands of customers, Weaviate is a core piece of the stack for leading startups, scale-ups, and enterprises. "Accuracy — how good the answer …

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 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 …

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 stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a …

Agents Pre-built agentic workflows that dynamically interact with your data in Weaviate to perform sync, async, and multi-step tasks.

Mar 18, 2025 · Weaviate, owned by the Dutch startup of the same name, is a specialized vector database that excels at rapid searches across billions of vectors. Its search architecture uses …

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 designed to store and index both data objects and their vector embeddings. This architecture enables advanced semantic search capabilities by …

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...