Weaviate

Weaviate is an open-source, AI-native database built to bring vector search, retrieval-augmented generation, and long-term memory together in a single platform. The company was founded in 2019 in Amsterdam, Netherlands, originally under the name SeMI Technologies, by Bob van Luijt, Etienne Dilocker, and Micha Verhagen, with a mission to build database infrastructure purpose-designed for AI applications rather than adapting traditional databases after the fact. Weaviate's growth accelerated sharply following the launch of its serverless cloud offering in April 2023, timed with the surge in developer interest that followed ChatGPT's release, and the open-source project has since surpassed 20 million downloads.

At its core, Weaviate stores and indexes high-dimensional vector embeddings for semantic search, scaling from prototypes to billion-vector production workloads. It combines four core capabilities on one platform: the vector database itself, a Query Agent that translates natural language questions into optimized database operations, native Weaviate Embeddings for generating vectors from text and images without a separate pipeline, and Engram, a newer capability (generally available in 2026) for building AI experiences that learn and personalize to individual users over time. Hybrid search blends vector similarity with traditional BM25 keyword search, and the platform supports efficient multi-tenancy, storing tens of thousands of isolated tenants within a single cluster, along with enterprise features like RBAC, SSO/SAML, observability, and SOC 2 Type II and HIPAA compliance on higher tiers.

Weaviate serves developers and enterprises building RAG applications, semantic search, recommendation systems, and agentic AI, with reported adoption from companies including Booking.com, Bosch, Cisco, Intuit, NetApp, Scribd, and Bumble. Customers cite use cases spanning legal research (Alexi), banking AI transformation (Finster AI), customer support search (DocsBot), and enterprise document workflows (Instabase). Teams can start on the always-free Weaviate Cloud tier, self-host the open-source database on their own infrastructure, scale into pay-as-you-go or prepaid Cloud plans, or deploy via bring-your-own-cloud on AWS, GCP, or Azure, giving flexibility to match deployment needs from early prototyping through regulated enterprise production.

Weaviate Cloud offers a permanently free tier: $0/month, 1 cluster per user, 100,000 objects, 1 GB memory, 10 GB disk, 1 collection with up to 3 tenants, 2,000 embeddings requests/day, and 1,000 Query Agent requests/month, no credit card required. Flex starts at $45/month on a pay-as-you-go basis with no commitment, unlimited objects, up to 1,000 collections, full core database toolkit with replication, RBAC, 99.5% uptime, and next-business-day Severity 1 support; billed on vector dimensions (from $0.00465/1M), storage (from $0.12/GiB), and backups (from $0.0264/GiB) on top of the base minimum. Premium starts at $400/month on a prepaid contract, offering choice of shared or dedicated deployment, up to 99.95% uptime, SSO/SAML, global coverage on AWS/GCP/Azure, and enterprise support as fast as 1-hour Severity 1 response with a dedicated Technical Account Team; dedicated deployment adds HIPAA compliance, AWS PrivateLink, and customer-managed encryption keys. Weaviate Embeddings is billed separately per model, from $0.025 to $0.065 per 1M tokens. Query Agent is free to try (1,000 requests/month) or $30/month per organization for 4,000 included requests plus usage-based overage.