Embedding / RAG · Updated 2026-10-25

Weaviate — what it is actually for

Weaviate is an open-source vector database with hybrid search, embedding modules, and a managed cloud. Teams can self-host the open-source edition or use Weaviate Cloud with a free cluster.

Short answer: use Weaviate when you need self-hosted vector search. It is a open source + free cloud tier + usage-based cloud service from Weaviate; the official pricing source is linked below.

Vendor

Weaviate

Category

Embedding / RAG

Pricing model

Open source + free cloud tier + usage-based cloud

Free option

Yes. Weaviate Cloud includes one free cluster per user.

What Weaviate is used for

• Self-hosted vector search
• Hybrid keyword and vector retrieval
• RAG applications with embedding modules

Source: official product page and official documentation.

Who Weaviate is for

• Teams that want an open-source or self-hosted vector database
• Hybrid search workloads
• Kubernetes-based deployments

Source: official documentation.

Who it is not for

• Teams that want fully managed operations with no infrastructure work
• Buyers who need the largest managed vector ecosystem

Source: documented plans, limits, and deployment model on the official product page.

Pricing

• Weaviate Cloud includes one always-free cluster per user.Source: weaviate.io
• Paid cloud starts at US$45/month with pay-as-you-go scaling and usage-based embedding and query-agent features.Source: weaviate.io
• The open-source database can be self-hosted at no license cost.Source: weaviate.io

Cloud pricing combines cluster fees with usage-based inference features. The official page lists the current rates.

Full pricing page: https://weaviate.io/pricing

Alternatives to Weaviate

• Pinecone — Managed vector database for RAG and semantic search.

Official sources

• Official product page
• Official documentation
• Official pricing page