Actions27
- Collection Actions
- Payload Actions
- Point Actions
- Search Actions
- Vector Actions
Point → Scroll Points
AI-generatedOverview
This node operation allows users to scroll through points in a specified collection within Qdrant, a vector search engine. It is useful for retrieving a subset of points with options to filter, order, and paginate through large datasets. Practical applications include fetching data points for analysis, machine learning, or data visualization where only a limited number of points are needed at a time.
Use Case Examples
- Retrieve up to 50 points from a collection named 'products' with payload included for detailed information.
- Scroll through points starting from a specific offset ID to paginate results in a large dataset.
- Filter points based on specific conditions and order them by a payload field for customized data retrieval.
Properties
| Name | Meaning |
|---|---|
| Collection Name | Specifies the name of the collection from which points are to be scrolled. It can be selected from a list or entered by name. |
| Limit | Maximum number of points to return in the response. |
| Filter | JSON object defining conditions to filter which points to select. |
| With Payload | Boolean flag to include the payload data of points in the response. |
| With Vector | Boolean flag to include vector data of points in the response. |
| Offset | ID from which to start reading points, used for pagination. |
| Order By | JSON object specifying how to order the points by a payload field. |
| Shard Key | JSON object specifying which shards to search for points; if not specified, all shards are searched. |
| Consistency | Defines the read consistency guarantees for the operation, such as majority, quorum, or all. |
| Timeout | Overrides the global timeout for this request in seconds. |
| Request Options | Additional request settings such as batching, SSL certificate validation, proxy, and timeout in milliseconds. |
Output
JSON
points- Array of points retrieved from the collection, each containing point data such as ID, payload, and optionally vector.
Dependencies
- Qdrant REST API
Troubleshooting
- Ensure the collection name is correct and exists in Qdrant to avoid errors.
- Check the filter JSON syntax to prevent malformed request errors.
- If the operation times out, consider increasing the timeout value or checking network connectivity.
- Verify that the API credentials are valid and have the necessary permissions to access the collection.
Links
- Qdrant Documentation - Official documentation for Qdrant vector search engine.