Weaviate is an open-source database that stores data objects and their vector representations. It supports semantic searches that look for similarity in meaning, alongside keyword searches that look for particular terms.
Its hybrid search combines these approaches. That distinction matters when an application needs to recognize related concepts without overlooking exact names, codes, or terms.
Useful starting point: learning how vector retrieval and keyword search can work together in a single system.
Official documentation
Read the vendor’s documentation. The overview above summarizes selected documented capabilities, not hands-on performance tests or a product endorsement.