Weaviate is a Vector Databases company founded in 2019 and based in Amsterdam, Netherlands. It has raised $66M in total funding, most recently a Series B in 2023 at a $200M valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Apr 21, 2023 | Series B | $50M | $200M | Index Ventures |
| Feb 1, 2022 | Series A | $16M | — |
| New Enterprise Associates |
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An open-source, Go-written vector database that stores objects and their vector embeddings together, enabling hybrid search combining dense semantic vector search with sparse BM25 keyword search in a single query. Supports multi-modal embeddings, dynamic schema, and metadata filtering using structured conditions applied at retrieval time. Integrates natively with embedding providers including OpenAI, Cohere, HuggingFace, and Google, vectorizing data at import without external pipelines.
A fully managed cloud deployment of Weaviate, available in shared and dedicated tiers across major cloud providers. Includes Weaviate Agents — pre-built agentic services for query, transformation, and personalization tasks — and Weaviate Embeddings, a managed inference service that generates and updates vector embeddings within the platform. Targets AI platform teams building RAG applications, semantic search, and recommendation systems at scale.
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