Weaviate

Weaviate reports more than 20 million open-source downloads, thousands of customers and large numbers of active databases running monthly.

Weaviate supports production retrieval, semantic search and AI application workloads across startups, scale-ups and enterprise deployments.

Weaviate reports 20M+ open-source downloads, thousands of customers and many millions of active Weaviate databases running every month across startups, scale-ups and enterprises.

Weaviate reports 20M+ open-source downloads, thousands of customers and many millions of active Weaviate databases running every month across startups, scale-ups and enterprises.

Weaviate supports open, deployment-agnostic vector database architecture across self-hosted and cloud environments, strengthening technical influence beyond a single managed service.

Weaviate develops an open-source AI-native vector database combining vector search, semantic retrieval, RAG, embeddings and agent-oriented memory infrastructure.

Weaviate combines vector search, RAG, embeddings, agents and memory in an open-source, deployment-agnostic AI database platform.

Weaviate combines vector search, RAG, embeddings, agents and memory in an open-source, deployment-agnostic AI database platform.

Weaviate operates a mature open-source and cloud AI infrastructure platform with thousands of customers and global enterprise deployments.

Weaviate combines a large open-source developer ecosystem with managed cloud offerings and integrations across the broader AI model and developer stack.

Weaviate operates a mature open-source and cloud platform with thousands of customers and enterprise deployments across many industries.

Weaviate operates a mature open-source and cloud platform with thousands of customers and enterprise deployments across many industries.

Weaviate is open source and deployment-agnostic, allowing experience to span self-hosted, cloud and multi-provider AI ecosystems rather than remaining tied to a proprietary managed platform.

Weaviate technical experience develops highly portable capabilities in distributed systems, vector databases, search, embeddings, retrieval, RAG, agents and AI data infrastructure.

Vector search, distributed systems, embeddings, RAG and agent-memory infrastructure skills transfer exceptionally broadly across AI platforms and applications.

Vector search, distributed systems, embeddings, RAG and agent-memory infrastructure skills transfer exceptionally broadly across AI platforms and applications.