Qdrant
Qdrant source connector
Descriptionâ
Qdrant is a high-performance vector search engine and vector database.
This connector can be used to read data from a Qdrant collection.
Optionsâ
name | type | required | default value |
---|---|---|---|
collection_name | string | yes | - |
schema | config | yes | - |
host | string | no | localhost |
port | int | no | 6334 |
api_key | string | no | - |
use_tls | int | no | false |
common-options | no | - |
collection_name [string]â
The name of the Qdrant collection to read data from.
schema [config]â
The schema of the table to read data into.
Eg:
schema = {
fields {
age = int
address = string
some_vector = float_vector
}
}
Each entry in Qdrant is called a point.
The float_vector
type columns are read from the vectors of each point, others are read from the JSON payload associated with the point.
If a column is marked as primary key, the ID of the Qdrant point is written into it. It can be of type "string"
or "int"
. Since Qdrant only allows positive integers and UUIDs as point IDs.
If the collection was created with a single default/unnamed vector, use default_vector
as the vector name.
schema = {
fields {
age = int
address = string
default_vector = float_vector
}
}
The ID of the point in Qdrant will be written into the column which is marked as the primary key. It can be of type int
or string
.
host [string]â
The host name of the Qdrant instance. Defaults to "localhost".
port [int]â
The gRPC port of the Qdrant instance.
api_key [string]â
The API key to use for authentication if set.
use_tls [bool]â
Whether to use TLS(SSL) connection. Required if using Qdrant cloud(https).
common optionsâ
Source plugin common parameters, please refer to Source Common Options for details.