What It Does
Weaviate is an open-source vector database that stores both objects and vectors, enabling semantic search, hybrid search, and generative AI capabilities. It can vectorize data automatically using built-in model integrations.
Key Features
- Open source — self-host or use managed cloud
- Built-in vectorization — automatic embedding generation from text/images
- Hybrid search — combine vector and keyword (BM25) search
- Generative search — RAG built directly into the database query layer
- Multi-tenancy — native support for SaaS applications
- GraphQL API — flexible querying interface
- Module system — extend with vectorizers, generators, and rerankers
Pricing Breakdown
| Option | Price |
|---|---|
| Open source | Free |
| Serverless | From $25/mo |
| Enterprise Cloud | Custom |
Who It’s For
Developers building AI applications who want open-source flexibility with optional managed hosting. Teams needing hybrid search and built-in vectorization without separate embedding pipelines.
Competitive Position
Weaviate differentiates from Pinecone through open-source availability and built-in vectorization (no separate embedding step needed). The multi-tenancy support makes it popular for SaaS builders. Competes with Pinecone on managed cloud and with Chroma/Milvus on open-source. The generative search module (RAG at the database layer) is architecturally unique.