Weaviate

Open-source AI-native vector database with REST, GraphQL, and gRPC.

Agents can manage collections, import objects, run hybrid/vector search, and choose local or cloud test environments.

Agent access evidence

API

native

Weaviate exposes REST, GraphQL, and gRPC APIs for management and search.

Evidence

Browser

strong

Cloud console and docs support setup and inspection.

Evidence

Account creation

strong

Self-serve cloud signup or local Docker setup.

Evidence

Pricing clarity

strong

Open-source self-hosting plus public Weaviate Cloud pricing.

Evidence

Docs quality

strong

Docs explain APIs, clients, deployment, and retrieval patterns.

Evidence

Sandbox

strong

Local Docker deployment supports safe experimentation.

Evidence

Readiness score

Usable

Usable: 74/100. Strongest in agent readability; weakest in machine operability.

Machine operability14/25

Agent safety21.6/25

Agent readability17.4/20

Auth and setup12/15

Production reliability9.4/15

Best for

AI-native vector search, hybrid retrieval, and local/cloud RAG workflows.

Pricing

Open-source self-hosting plus public Weaviate Cloud pricing.

Auth

API keys, OIDC, and cloud auth depending on deployment.

Account creation

Self-serve cloud signup or local Docker setup.

Browser support

Cloud console and docs support setup and inspection.

API

https://docs.weaviate.io/weaviate/api

Limitations

Key limitations: Schema changes, vectorizer configuration, and data deletion need review. Schema changes, migrations, deletes, backups, row-level security, and retention policies need explicit review before agents touch production data. API automation needs client-side throttling, idempotency where supported, pagination limits, retries, and audit logging. Store credentials outside source control and use least-privilege scopes, short-lived tokens, or restricted keys where the product supports them.