Qdrant
Description
Stores events in a Qdrant vector database. This sink connector allows you to store vector data along with associated metadata in a Qdrant collection.
Required input
This sink requires an input stream that contains a vector field. The vector field should be a list of float values.
Configuration
Host
The host address of the Qdrant instance (e.g., "localhost" or "xyz-example.cloud-region.cloud-provider.cloud.qdrant.io").
Port
The port number of the Qdrant instance (default is 6334 for gRPC).
API Key
The API key for authentication with Qdrant. This is required for secure access to the Qdrant instance.
Collection Name
The name of the collection where the data will be stored. If the collection doesn't exist, it will be created automatically.
ID Field
The field name that will be used as the unique identifier for each point in the collection. This should be a UUID string.
Vector Field
The name of the field containing the vector data. This field should contain a list of float values.
Vector Dimension
The dimension of the vectors to be stored (default is 384). This must match the dimension of your input vectors.
Distance Metric
The distance metric to use for vector similarity search. Available options are:
- Cosine
- Euclid
- Dot
- Manhattan
Output
(not applicable for data sinks)
Notes
- The sink automatically creates the collection if it doesn't exist
- All non-vector fields from the input event are stored as payload
- The sink uses gRPC for communication with Qdrant
- Vector data must be provided as a list of float values
- The ID fmust be a valid UUID string