"The biggest benefit of using Weaviate isn't just the technology – it's the team behind it. The level of support we receive through their engineering team and support channels has been company-saving …

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 …

Jan 8, 2026 · 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 …

Oct 13, 2023 · This hands-on guide walks you through setting up Weaviate locally, how to use Weaviate and illustrates how to integrate it with a custom vector embedding model.

Jul 18, 2023 · In this article, we have started playing around with Weaviate to not only use vector databases for vector search but also for question-answering and generative search in combination …

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 …

Using Weaviate to do a vector-based search. Weaviate is an open-source vector-based search engine. With Weaviate you can perform a semantic search to various data types (text, images,...

4 days ago · A hands-on comparison of vector databases for RAG chatbots, showing why filtering and hybrid search matter in real production systems.

2 days ago · Amsterdam City, Jan. 13, 2026 (GLOBE NEWSWIRE) -- Weaviate, the AI database company, today announced it has been recognized as a Leader and Outperformer in the 2025 …

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 …