Search & RAGDatabases & storage

Qdrant

Open-source vector database with REST, gRPC, and cloud.

Agents can create collections, upsert points, search, filter, and run local or cloud vector workflows.

Agent access evidence

API

native

REST API reference covers collections, points, search, snapshots, and service operations.

Evidence

Browser

strong

Cloud console supports cluster and collection inspection.

Evidence

Account creation

strong

Self-serve cloud signup or local Docker deployment.

Evidence

Pricing clarity

strong

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

Evidence

Docs quality

strong

Docs include local, cloud, client, and filtering examples.

Evidence

Sandbox

strong

Local Docker and open-source deployment make safe testing easy.

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 reliability8.8/15

Best for

RAG indexes, semantic search, hybrid filtering, and self-hosted vector storage.

Pricing

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

Auth

API keys for cloud; configurable keys for self-hosted deployments.

Account creation

Self-serve cloud signup or local Docker deployment.

Browser support

Cloud console supports cluster and collection inspection.

API

https://api.qdrant.tech

Limitations

Key limitations: Deletion, payload privacy, and collection migrations need explicit safeguards. 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.