Typesense

Typesense is an open-source, in-memory search engine designed for fast, typo-tolerant, and relevance-focused full-text search across large datasets.

Categories: Artificial Intelligence

Type: typesense/v1

Connections

Version: 1

custom

Properties

Name	Label	Type	Description	Required
protocol	Protocol	STRING	HTTP Protocol	true
host	Host	STRING	Hostname	true
port	Port	STRING		true
apiKey	Typesense API Key	STRING	The API key for the Typesense API.	true
collection	Collection Name	STRING	The name of the collection to use.	true
embeddingDimension	Embedding Dimension	INTEGER	The dimension of the embeddings.	true
initializeSchema	Initialize Schema	BOOLEAN Options true, false	Whether to initialize the schema.	true

Actions

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
topK	Top K	INTEGER	The top 'k' similar results to return.	false
similarityThreshold	Similarity Threshold	NUMBER	Similarity threshold score to filter the search response by. Only documents with similarity score equal or greater than the threshold will be returned. A threshold value of 0 means any similarity is accepted. A threshold value of 1 means an exact match is required.	false

Example JSON Structure

{
  "label" : "Search Data",
  "name" : "search",
  "parameters" : {
    "query" : "",
    "topK" : 1,
    "similarityThreshold" : 0.0
  },
  "type" : "typesense/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.

Load Data

Name: load

Loads data into the vector store using LLM embeddings.

Example JSON Structure

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

Output

This action does not produce any output.

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