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Compare 7 chunking strategies on your own text.

Multimodal semantic search with a shared embedding space.

Persistent memory for AI agents. Every chat turn is ingested, facts and summaries are extracted in the background, and the assistant recalls them on the next turn.

Browse, search, and discover products powered by Weaviate's keyword, vector, and hybrid search with real-time faceted filtering and vector-based recommendations.

Ask questions about transactions and products. The Query Agent translates them into structured queries across multiple collections to surface fraud patterns.

A newspaper-themed clustering demo. Reports are fetched, embedded, and clustered using hybrid semantic, character n-gram similarity and Leiden community detection.

Learn the differences between Vector and Keyword Search

Skincare recommendation app demonstrating how domain knowledge agents, custom embedding strategies, and vector search create intelligent product recommendations.

Decision-tree agent that picks which tools to run on the fly to query and reason over your Weaviate data.