Learn about how you can use our new agentic personalization service to provide user-catered recommendations from Weaviate collections.
Late interaction allow for semantically rich interactions that enable a precise retrieval process across different modalities of unstructured data, including text and images.
Learn how the new Transformation Agent will change the way we manage data. Say goodbye to the tedious tasks of database management!
Agentic workflows give AI agents structure, purpose, and adaptability. This article breaks down their components, patterns, and practical applications.
Learn about the Query Agent, our new agentic search service that redefines how you interact with Weaviate’s database!
How Weaviate achieved 10x Faster Keyword Search and 90% index compression
What is an AI Agent? Learn how AI agents work, the benefits of using AI agents and more
Learn about the hybrid search feature that enables you to combine dense and sparse vectors to deliver the best of both search methods!
Learn about vector search, a technique that uses mathematical representations of data to find similar items in large data sets.
Learn about the challenges of filtered vector search and how Weaviate tackles them with ACORN.
Learn about Agentic Retrieval Augmented Generation (RAG), including architecture, implementation, and and difference to vanilla RAG.
