Weaviate Embeddings is Now Generally Available, and Weaviate 1.29 is Officially Here! Read more about it in our launch announcement.
Read about multi-vector embedding support, improved keyword/hybrid searches, role-based access control and async replication going GA, new nvidia modules, and more.
What is an AI Agent? Learn how AI agents work, the benefits of using AI agents and more
Learn how traditional CRUD-based applications are giving way to agentic workflows with vector databases at their core.
Learn about the hybrid search feature that enables you to combine dense and sparse vectors to deliver the best of both search methods!
Looking for our security documentation or auditors reports? We have now launched our trust portal to make your compliance reviews easy! Head over to https://trust.weaviate.io to learn more.
Master modern search capabilities by building a powerful API server with Hono.js. Learn how to implement vector, hybrid, and generative search while maintaining performance and reliability.
Learn how to build RAG Applications on Google Cloud using the new RAG Engine on Vertex AI!
Automate your RAG pipelines and dive into Workflow Driven Agentic Applications that leverage Inngest and Weaviate.
The Weaviate team was in London last month, where the presentations were packed with insights from the field, real-world use cases, and inspiration for what’s next in AI. From streamlining development to tackling challenges in nuclear energy, here’s a recap of the standout moments.
Moving your Weaviate OSS instance into production? Check out our handy guide to securing your Weaviate database in the cloud, including all the helpful modules we’ve added to make it as easy as possible to keep your vectors safe.
Read about a preview of role-based access control, improved indexing, Weaviate Embeddings, new Voyage Multimodal model and a Japanese BM25 tokenizer!
