[{"data":1,"prerenderedAt":12},["ShallowReactive",2],{"stack-tr-en-weaviate":3},{"tagline":4,"description":5,"strengths":6,"useCase":11},"The open source AI-native vector database, with hybrid search and vectorization built in.","Weaviate is an open source AI-native vector database: it stores objects and embeddings, and serves hybrid search that combines BM25 and vector similarity in a single query. Built-in vectorizer modules generate embeddings at ingestion time, and multi-tenancy isolates each customer's data. Over GraphQL, REST or gRPC, managed cloud or self-hosted, it's our choice when you want semantic search without building the embedding pipeline yourself.",[7,8,9,10],"Hybrid BM25 + vector search, fused in a single query.","Built-in vectorizer modules: embeddings generated at ingestion time.","Native multi-tenancy to isolate each customer's data.","GraphQL, REST and gRPC APIs; managed cloud or self-hosted (Docker, Kubernetes).","Semantic search over a document base, multi-tenant RAG, recommendation engine.",1792675979063]