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 is — is the …

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, retrieval …

2 days ago · Weaviate is an open-source, cloud-native vector database that stores both objects and vectors allowing for the combination of vector search with traditional structured filling. Weaviate can …

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 vectors to these …

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 data privacy …

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 cloud …

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 comparing …

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

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...

Learn why vector databases are great, how to create one with Weaviate, and how to use it with real data, including a demo app and an end-to-end Jupyter notebook example.