Serverless AI Context Database Search

AI powered semantic search service that finds the most relevant chunks from a vector collection based on a query.

Endpoint

Search through vector embeddings in a collection using AI-powered semantic search

GEThttps://api.xtartapp.com/data/memory

You must use a Bearer token provided by the dashboard to use for authentication. Add the token to the Authorization header.

Name	Type	Required	Max	Description
collection	string	Yes	-	The name of the collection to search in.
query	string	Yes	1000	The search query to find relevant chunks in the collection.
limit	number	No	25	The maximum number of results to return. Default is 10, maximum is 25.
scoreThreshold	number	No	1	The minimum score threshold for results to be returned. Default is 0.5, minimum is 0, maximum is 1.

Name	Type	Description
data	object	The data of the search operation
data.results	array	Array of content chunks matching the search query, ordered by relevance
data.collection	string	The name of the collection that was searched
metadata	object	Metadata about the search process
metadata.cost	number	The cost of the search request

{
   "error": "string", 
   "code": "string"
}

HTTP Status	Error Code	Message
400	INVALID_PAYLOAD	Occurs when the payload is invalid.
400	INVALID_REQUEST	Ex.: The request is invalid.
400	MEMORY_ERROR	Ex: could not search collection \| collection not found
400	INSUFFICIENT_BALANCE	The user has insufficient balance
401	UNAUTHORIZED	Ex.: The token is invalid.
429	TOO_MANY_REQUESTS	Ex.: The request limit has been reached.