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!
Learn about why you need distance metrics in vector search and the metrics implemented in Weaviate (Cosine, Dot Product, L2-Squared, Manhattan, and Hamming).
Vector databases explained by their core concepts of vector embeddings, vector search, and vector indexing
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.
Weaviate 1.20 released with multi-tenancy, PQ, search re-ranking, autocut, hybrid fusion algorithm ... take a look!