# Qdrant Cloud

Category: [Embeddings and reranking](https://free-web-services.com/web-services/ai/embeddings/)  
Page: https://free-web-services.com/web-services/ai/embeddings/qdrant-cloud.html  
Documentation: https://qdrant.tech/documentation/cloud-quickstart/

Qdrant Cloud runs the open-source Qdrant vector database as a service: store vectors with a payload and search them by similarity with filters, for example for semantic search or recommendations. Call the cluster's REST API with an api-key header and JSON. Free forever: one cluster with 1 GB RAM and 4 GB disk and free small embedding models, no credit card needed; unused free clusters are suspended after a week and deleted after four weeks. An official MCP server (mcp-server-qdrant) lets AI agents store and search memories in Qdrant.

- API key: Needed, free
- Pricing: Free forever: one cluster with 1 GB RAM and 4 GB disk and free small embedding models, no credit card needed; unused free clusters are suspended after a week and deleted after four weeks.
- Formats: JSON
- Interface: REST, MCP
- Provider: qdrant.tech

Example request:

```sh
curl -X POST 'https://YOUR_CLUSTER.cloud.qdrant.io:6333/collections/YOUR_COLLECTION/points/query' \
  -H 'api-key: YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{"query":{"nearest":{"text":"What is a vector database?","model":"sentence-transformers/all-minilm-l6-v2"}},"limit":3}'
```

Replace YOUR_CLUSTER, YOUR_COLLECTION and YOUR_API_KEY with your own values from your account.