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Weaviate

Free tier

The open-source AI-native vector database built for production-scale search, RAG, and agents

Free tier available·All audiences·API available·Open source
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Key strengths

Billion-scale vector search with multi-tenancy supportBuilt-in embeddings — no external pipeline requiredDeployment-agnostic: cloud, self-hosted, or on-premUnified platform for search, RAG, agents, and memory (Engram)Production-hardened with SOC 2, HIPAA, RBAC, and high availability
Free tier + paid plans
Amsterdam, Netherlands
Founded 2019
Self-hostable
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Weaviate is an open-source, cloud-native vector database written for high-dimensional vector storage, indexing (HNSW), and multi-modal search at billion-scale. It ships with built-in vectorization modules (text, image, and more), a Query Agent that translates natural language into optimized database queries, hybrid search (vector + BM25 keyword), and multi-tenancy support for tens of thousands of segmented indexes in a single cluster. Developers interact via Python, Go, TypeScript, and JavaScript SDKs, as well as GraphQL and REST APIs. It is deployment-agnostic — run it on Weaviate Cloud (shared or dedicated), self-host via Docker/Kubernetes, or integrate with cloud providers like AWS, Google Cloud, Snowflake, and Databricks.