Accelerating Vector Search up to +40% with Intel’s latest Xeon CPU - Emerald Rapids
Boosting Weaviate using SIMD-AVX512, Loop Unrolling and Compiler Optimizations
Boosting Weaviate using SIMD-AVX512, Loop Unrolling and Compiler Optimizations
A beta release of our new TypeScript client is now available! Help us make it better by trying it out and providing your feedback.
Hurricane is a web application to demonstrate Generative Feedback Loops with blog posts.
We’re excited to share the details of our newly launched Weaviate Hero Program! Let’s find out more ...
Explore enterprise use cases heavily used by our customers adopting generative AI features, search capabilities, and RAG with Weaviate vector database.
Verba is an open source Retrieval Augmented Generation (RAG) application built using a modular, customizable architecture that makes it easy for anyone to use AI methods to get personalized answers on their own data.
Weaviate 1.24 is released! Updates include named vectors, server telemetry, backend improvements, performance enhancements.
Learn how gRPC improves import and query speeds in Weaviate
Learn how to fine-tune Cohere's reranker and generate synthetic data using DSPy!
An end-to-end generative feedback loop demo using Weaviate, Ollama, Mistral and Snowflake’s Snowpark Container Services!
The new (v4) release of the Weaviate Python Client is - faster (gRPC), provides better IDE support and more type-safety, and many other developer experience improvements. Check out the new release and let us know what you think!
What you need to consider when using the Weaviate vector database with non-English languages, such as Hindi, Chinese, or Japanese.