Weaviate

Weaviate is a vector database with built-in hybrid search that combines vector similarity with keyword matching. It can generate embeddings automatically and supports GraphQL queries, making it flexible for complex search use cases.

I use Weaviate when a project benefits from hybrid search - combining the precision of keyword matching with the semantic understanding of vector search. The built-in embedding support simplifies the pipeline, and the GraphQL API gives you fine-grained control over queries and filtering.

For Barnsley businesses that need search across mixed content types - structured data alongside free text - Weaviate's hybrid approach catches what pure keyword or pure vector search would miss.