> ## Documentation Index
> Fetch the complete documentation index at: /docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Qdrant

> Collections, points and vector search. The same job as Pinecone, self-hosted.

Collections, points and vector search. The same job as Pinecone, self-hosted.

## Connecting

In the dashboard, open **Connectors**, find Qdrant and press **Connect**. The key you enter is checked against Qdrant before anything is saved, so a key that is refused never becomes a connection that fails later.

### What you will need

| Field | What it is |
| - | - |
| API Key | Your Qdrant API key |
| Qdrant URL | Your Qdrant instance URL |

### Getting the credential

1. **Qdrant Cloud**: Sign up and create a cluster at [Qdrant Cloud](https://cloud.qdrant.io/)
2. **Self-hosted**: Deploy Qdrant using Docker or Kubernetes
3. Get your cluster URL and API key (if authentication enabled)
4. Test connection with a simple collection creation

## What your AI teammate can do with it

| Tool | What it does |
| - | - |
| `get_collections` | List all collections |
| `create_collection` | Create a new collection |
| `get_collection_info` | Get collection information |
| `delete_collection` | Delete a collection |
| `upsert_points` | Insert or update points in a collection |
| `search_points` | Search for similar points |
| `get_points` | Retrieve points by IDs |
| `delete_points` | Delete points from collection |
| `set_payload` | Set payload for points |
| `create_index` | Create payload index for faster filtering |

## Useful resources

* [Qdrant documentation](https://qdrant.tech/documentation/guides/authentication/)


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