tg-invoke-graph-rag

Uses Graph RAG to answer questions using knowledge graph data.

Synopsis

tg-invoke-graph-rag -q "question" [options]

Description

The tg-invoke-graph-rag command performs graph-based Retrieval Augmented Generation (RAG) to answer questions using structured knowledge from the knowledge graph. Retrieves relevant entities and relationships to provide contextually accurate answers.

Options

Required Arguments

Option	Description
-q, --question QUESTION	Question to answer using graph knowledge

Optional Arguments

Option	Default	Description
-u, --url URL	$TRUSTGRAPH_URL or http://localhost:8088/	TrustGraph API URL
-t, --token TOKEN	$TRUSTGRAPH_TOKEN	Authentication token
-f, --flow-id FLOW	default	Flow ID to use
-U, --user USER	trustgraph	User identifier
-C, --collection COLLECTION	default	Collection identifier

Graph Search Parameters

Option	Default	Description
-e, --entity-limit LIMIT	50	Maximum entities to retrieve
-t, --triple-limit LIMIT	30	Maximum triples to retrieve
-s, --max-subgraph-size SIZE	150	Maximum subgraph size
-p, --max-path-length LENGTH	2	Maximum path length for traversal

Examples

Basic Graph RAG Query

tg-invoke-graph-rag -q "What is the relationship between AI and machine learning?"

With Custom Parameters

tg-invoke-graph-rag \
  -q "Who are the key researchers in this field?" \
  -e 100 \
  -t 50

Specific Flow and Collection

tg-invoke-graph-rag \
  -q "What connections exist between these entities?" \
  -f research-flow \
  -C academic-papers

Environment Variables

• TRUSTGRAPH_URL: Default API URL
• TRUSTGRAPH_TOKEN: Default authentication token

Related Commands

• tg-invoke-document-rag - Query using document RAG
• tg-load-kg-core - Load knowledge into flow
• tg-show-graph - View graph triples

API Integration

This command uses the Graph RAG API to perform knowledge graph queries with retrieval-augmented generation.