Weaviate
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.
What Weaviate brings to your project.
Typical use cases: Semantic search over a document base, multi-tenant RAG, recommendation engine.
- 01
Hybrid BM25 + vector search, fused in a single query.
- 02
Built-in vectorizer modules: embeddings generated at ingestion time.
- 03
Native multi-tenancy to isolate each customer's data.
- 04
GraphQL, REST and gRPC APIs; managed cloud or self-hosted (Docker, Kubernetes).
Entrust your project
to our experts.
Entrust your project to our
experts.
Entrust your project
to our experts.
Our experts build your project, delivering superior technical and functional quality within shorter timeframes.







They trust us.
They trust
us.
Startups, mid-caps, large enterprises, public sector: Kosmos supports organisations of every size in building their web, mobile and AI applications.















A project with Weaviate?
Describe your project. Our team replies within 24 hours with free technical scoping, along with a clear estimate of costs and timelines. No commitment.
- Reply within 24 hours from a project manager
or engineer.Reply within 24 hours from a project manager or engineer. - Technical scoping and quote, with no fees.
- No commitment, your data stays
confidential.No commitment, your data stays confidential.
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hello@kosmos-digital.com
Paris · Lyon · Marseille · Nice · Geneva
Free scoping & estimate in less than 24h
Describe your project and we'll get back to you with a costed estimate and a roadmap.



