An Overview on RAG Evaluation
Learn about new trends in RAG evaluation and the current state of the art.
Learn about new trends in RAG evaluation and the current state of the art.
UK-based startup Moonsift is harnessing the power of AI with Weaviate.
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!
Learn about why you need distance metrics in vector search and the metrics implemented in Weaviate (Cosine, Dot Product, L2-Squared, Manhattan, and Hamming).
What is a Vector Database? Explaination of core concepts, such as vector embeddings, vector search, and vector indexing