tg-invoke-row-embeddings
Queries structured data rows by text similarity.
Synopsis
tg-invoke-row-embeddings -s SCHEMA_NAME QUERY [options]
Description
Searches for structured data rows similar to the query text using vector embeddings on indexed fields. Returns matching rows with index values and similarity scores.
Options
Required Arguments
| Option | Description |
|---|---|
-s, --schema-name NAME | Schema name to search within |
QUERY | Query text to search for similar rows |
Optional Arguments
| Option | Default | Description |
|---|---|---|
-u, --url URL | $TRUSTGRAPH_URL or http://localhost:8088/ | API URL |
-t, --token TOKEN | $TRUSTGRAPH_TOKEN | Authentication token |
-f, --flow-id ID | default | Flow ID |
-U, --user USER | trustgraph | User identifier |
-c, --collection COLL | default | Collection identifier |
-i, --index-name NAME | None | Index name to filter search |
-l, --limit N | 10 | Maximum results |
Examples
tg-invoke-row-embeddings -s customers "John Smith"
tg-invoke-row-embeddings -s products -i description -l 5 "wireless headphones"
Environment Variables
TRUSTGRAPH_URL: Default API URLTRUSTGRAPH_TOKEN: Default authentication token
Related Commands
tg-invoke-embeddings- Convert text to embeddingstg-invoke-rows-query- Query structured data rowstg-invoke-structured-query- NLP structured data queries