Weaviate

Weaviate is an open-source, AI-native database company founded in 2019 and headquartered in Amsterdam, Netherlands. It builds infrastructure that lets development teams store and search high-dimensional vectors so they can add semantic search, recommendations and other AI-driven features to their applications without assembling separate indexing and retrieval systems.

The core product is a vector database that stores, indexes and queries embeddings alongside structured data, complemented by a Query Agent that turns natural-language questions into database queries and built-in tools for generating embeddings from text and images. The open-source core has been downloaded more than 20 million times, and commercial customers include Booking, Bosch, Cisco, Intuit, Scribd and HPE, which use it to power search and AI features inside their own products.

1. Vector database core: Stores, indexes and searches high-dimensional vector embeddings alongside structured data.

2. Query Agent: Converts natural-language questions into database queries automatically.

3. Built-in embeddings: Generates vector representations from text, images and other formats without a separate service.

4. Hybrid search: Combines vector similarity search with traditional keyword filtering in a single query.

5. Open-source core: Offers a self-hostable open-source engine with more than 20 million downloads.

6. Managed cloud service: Runs the database as a hosted service for teams that do not want to operate it themselves.