# Managed Qdrant Service

Qdrant is a high-performance vector database and similarity search engine designed for AI and machine learning applications. It provides efficient storage and retrieval of high-dimensional vectors with advanced filtering capabilities, making it ideal for recommendation systems, semantic search, and RAG (Retrieval-Augmented Generation) applications.

## Deployment Details

Service deploys Qdrant as a StatefulSet with automatic cluster mode when multiple replicas are configured.

- Docs: https://qdrant.tech/documentation/
- GitHub: https://github.com/qdrant/qdrant

## Parameters

### Common parameters

| Name               | Description                                                                                                                      | Type       | Value   |
| ------------------ | -------------------------------------------------------------------------------------------------------------------------------- | ---------- | ------- |
| `replicas`         | Number of Qdrant replicas. Cluster mode is automatically enabled when replicas > 1.                                              | `int`      | `1`     |
| `resources`        | Explicit CPU and memory configuration for each Qdrant replica. When omitted, the preset defined in `resourcesPreset` is applied. | `object`   | `{}`    |
| `resources.cpu`    | CPU available to each replica.                                                                                                   | `quantity` | `""`    |
| `resources.memory` | Memory (RAM) available to each replica.                                                                                          | `quantity` | `""`    |
| `resourcesPreset`  | Default sizing preset used when `resources` is omitted.                                                                          | `string`   | `small` |
| `size`             | Persistent Volume Claim size available for vector data storage.                                                                  | `quantity` | `10Gi`  |
| `storageClass`     | StorageClass used to store the data.                                                                                             | `string`   | `""`    |
| `external`         | Enable external access from outside the cluster.                                                                                 | `bool`     | `false` |


## Parameter examples and reference

### resources and resourcesPreset

`resources` sets explicit CPU and memory configurations for each replica.
When left empty, the preset defined in `resourcesPreset` is applied.

```yaml
resources:
  cpu: 4000m
  memory: 4Gi
```

`resourcesPreset` sets named CPU and memory configurations for each replica.
This setting is ignored if the corresponding `resources` value is set.

| Preset name | CPU    | memory  |
|-------------|--------|---------|
| `nano`      | `250m` | `128Mi` |
| `micro`     | `500m` | `256Mi` |
| `small`     | `1`    | `512Mi` |
| `medium`    | `1`    | `1Gi`   |
| `large`     | `2`    | `2Gi`   |
| `xlarge`    | `4`    | `4Gi`   |
| `2xlarge`   | `8`    | `8Gi`   |