Weaviate Blog

Weaviate 1.22 released with nest object storage, async indexing, further gRPC support, and more!

Join us in celebrating Hacktoberfest, a month-long celebration of open source!

A preview release of our new Python client is now available! Help us make it better by trying it out and providing your feedback.

Learn how to build an application using Weaviate and Confluent

The details behind how you can compress vectors using PQ with little loss of recall!

Fine-tuning LlaMA 7B to use the Weaviate GraphQL APIs

How hybrid search works, and under the hood of Weaviate's fusion algorithms.

Weaviate 1.21 released with new operators, performance improvements, multi-tenancy improvements, and more!

Understand the distance metrics that power similarity search: cosine similarity, dot product, Euclidean, Manhattan, and Hamming. Learn how to choose the right metric for your vector search application.

Learn what a vector database is and how it powers vector search, semantic search, and LLM RAG with embeddings, indexing (HNSW/ANN), and scalable retrieval.

Learn about our latest open source demo and how we used Semantic and Generative Search to improve access to health

Learn how to make testing less of a chore with Embedded Weaviate, and other tips for better automated testing.