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.
Weaviate 1.20 released with multi-tenancy, PQ, search re-ranking, autocut, hybrid fusion algorithm ... take a look!
Learn about the new native multi-tenancy feature
The Weaviate server can be run locally directly from client code
A discussion on data privacy and privacy-preserving machine learning for LLMs
Demo on how to ingest PDFs into Weaviate using Unstructured.
Weaviate now supports the PaLM models for embeddings and generative search through two new modules.
