For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
Perform a semantic search across all documents in the Datasphere.
Request
query_stringstringRequired
Search term.
tagslist of stringsOptional
Document tags.
document_idstringOptionalformat: "uuid"
Unique ID of a Document.
distancedoubleOptional0-78.3836717690617
Specifies how closely related the query is to the document. Low distance means high relevance and similarity. High distance means low relevance and similarity.
countintegerOptional>=1Defaults to 5
Specifies number of returned Chunks.
languagestringOptionalDefaults to en
Language of the Document.
pos_to_expandlist of stringsOptionalDefaults to ["NOUN","VERB","ADJ","ADV"]
Part of Speech considered for expansion or analysis.
max_synonymsintegerOptional>=1Defaults to 10
Maximum number of synonyms to consider.
Response
chunkslist of objectsRequired
A list of search result chunks.
Response Example
Response
1
{
2
"chunks": [
3
{
4
"text": "Cristiano Ronaldo is the highest-paid football player in the world in 2024",