weaviate

Free

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c

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Type

Open Source

Company

Weaviate

Visit Website GitHub (16.1k stars)

About weaviate

Weaviate is an open-source AI vector database designed to store and index both data objects and their vector embeddings, enabling semantic and hybrid search, retrieval augmented generation (RAG), and agent-driven workflows. It integrates with AI models and cloud services, supports flexible deployment options including Weaviate Cloud (managed) and self-hosted. The database offers features like vector compression, multi-tenancy, RBAC, and high availability. It is fault-tolerant and scalable, making it suitable for AI applications from prototypes to production.

Key Features

Semantic and hybrid search

Retrieval augmented generation (RAG)

Agent-driven workflows

Flexible deployment (cloud or self-hosted)

Vector compression and indexing

Multi-tenancy with RBAC

Integration with AI models and external providers

Query Agent for agentic search

Engram persistent memory for LLMs

High availability and fault tolerance

Pros & Cons

Pros

Open-source and free to self-host
Free managed tier with 100K objects and 1GB memory
Combines vector search with structured filtering
Supports hybrid search (semantic + keyword)
Integrates with popular AI models and frameworks
Cloud-native with automatic scaling and high availability
Offers managed cloud options for easy deployment
Includes tools like Query Agent and Engram for AI agents

Cons

Free tier limited to 100K objects and 1 collection
Managed cloud pricing can increase with usage
Self-hosted setup requires infrastructure management
Limited regions in free tier
Advanced features like encryption require premium plans

Best For

Building AI applications with semantic searchPowering RAG pipelines for context-aware responsesDeploying intelligent agents that leverage semantic insightsManaging and scaling vector databases in the cloudPersistent memory for LLM agents and applicationsPrototypes, pilots, and production AI deploymentsAgentic search over collections

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FAQ

What is Weaviate?

Weaviate is an open-source AI vector database that stores both objects and vectors, enabling semantic search, hybrid search, RAG, and agent-driven workflows.

What is the free tier?

Weaviate Cloud offers a free forever tier with 1 cluster, 100,000 objects, 1 GB memory, 10 GB disk, 1 collection, up to 3 tenants, 2,000 embeddings requests per day, and 1,000 Query Agent requests per month.

How does pricing work?

Pricing includes a free tier, Flex pay-as-you-go starting at $45/month, Premium prepaid from $400/month, and dedicated options. Costs depend on vector dimensions, object count, and usage of AI services.