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

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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

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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.