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Weaviate Review 2026 — Best Open-Source Vector Database for Enterprise
Weaviate is the leading open-source vector database for production AI. Hybrid search, multi-modal, multi-tenancy, Kubernetes scaling. Free BSD license.

Weaviate stores objects and vector embeddings, then supports vector, keyword, hybrid, filtered, and generative search through APIs. Its product suite includes managed Shared Cloud and Dedicated Cloud, Query Agent, Embeddings, integrations, and console tools.
Developers use it for retrieval-augmented generation, semantic search, recommendations, and agent applications. Self-hosting is available, while managed cloud plans, embeddings, Query Agent usage, storage, backups, and vector dimensions can incur separate charges.
Features
- Store objects and vector embeddings in an open-source AI database
- Run vector, keyword, hybrid, filtered, and generative searches
- Use GraphQL, REST, gRPC, and gRPC-Web APIs
- Query collections in natural language with Query Agent
- Generate embeddings within Weaviate Cloud
- Deploy as self-hosted software or managed Shared and Dedicated Cloud
- Use Boost API and MMR Diversity Selection for search results
- BSD 3-Clause License for Weaviate Database
Use cases
- Build retrieval-augmented generation applications
- Search documents, images, and other embedded data semantically
- Create recommendation and similarity-search systems
- Connect AI agents to structured and unstructured application data
- Manage vector search infrastructure in self-hosted or managed cloud deployments
Pros
Cons
Pricing
- Starting price
- Free
- Pricing checked
- 2026-09-19
Free
$0 /mo
- Always free
- 1 cluster per user
- 100,000 objects, 1 GB memory, and 10 GB disk
- 1 collection and up to 3 tenants
- Embeddings: 2,000 requests/day
- Query Agent: 1,000 requests/month
- Basic support
Flex
$45 /mo
- Pay-as-you-go with no commitment
- Shared cloud cluster with core database toolkit and replication
- RBAC
- 99.5% uptime
- Usage-based Embeddings
- Standard support
Premium
$400 /mo
- Prepaid contract with predictable spend
- Shared or dedicated deployment
- Up to 99.95% uptime
- AWS, GCP, and Azure availability
- Usage-based Embeddings
- Enterprise support and dedicated Technical Account Team