Qdrant

Qdrant

Qdrant is an open-source vector similarity search engine designed to handle high-dimensional data, enabling efficient and scalable nearest neighbor search for applications like recommendation systems and machine learning.

Categories: Artificial Intelligence

Type: qdrant/v1

Connections

Version: 1

custom

Properties

Name	Label	Type	Description	Required
host	Host	STRING	`The host of the Qdrant server.`	true
port	Port	INTEGER	`The gRPC port of the Qdrant server.`	true
apiKey	API Key	STRING	`The API key to use for authentication withe the server.`	true
collection	Collection Name	STRING	`The name of the collection to use.`	true
initializeSchema	Initialize Schema	BOOLEAN Options true, false	`Whether to initialize the schema.`	true

Actions

Load Data

Name: load

Loads data into the vector store using LLM embeddings.

Example JSON Structure

{
  "label" : "Load Data",
  "name" : "load",
  "type" : "qdrant/v1/load"
}

Output

This action does not produce any output.

Search Data

Name: search

Query data from the vector store using LLM embeddings.

Properties

Name	Label	Type	Description	Required
query	Query	STRING	`The query to be executed.`	true

Example JSON Structure

{
  "label" : "Search Data",
  "name" : "search",
  "parameters" : {
    "query" : ""
  },
  "type" : "qdrant/v1/search"
}

Output

The output for this action is dynamic and may vary depending on the input parameters. To determine the exact structure of the output, you need to execute the action.

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