tg-put-kg-core

Stores a knowledge core in TrustGraph from MessagePack format.

Synopsis

tg-put-kg-core --id CORE_ID -i INPUT_FILE [options]

Description

The tg-put-kg-core command loads a knowledge core from a MessagePack file and stores it in TrustGraph. Knowledge cores contain RDF triples and graph embeddings that can be loaded into flows for processing.

Options

Required Arguments

Option	Description
--id, --identifier CORE_ID	Unique identifier for the knowledge core
-i, --input INPUT_FILE	Path to MessagePack input file

Optional Arguments

Option	Default	Description
-u, --url URL	$TRUSTGRAPH_URL or ws://localhost:8088/	TrustGraph API URL (WebSocket)
-t, --token TOKEN	$TRUSTGRAPH_TOKEN	Authentication token
-U, --user USER	trustgraph	User identifier

Examples

Store Knowledge Core

tg-put-kg-core --id "research-core-v1" -i knowledge.msgpack

With Custom User

tg-put-kg-core \
  --id "medical-knowledge" \
  -i medical-data.msgpack \
  -U researcher

Using Custom API

tg-put-kg-core \
  --id "production-core" \
  -i prod-knowledge.msgpack \
  -u ws://production:8088/

Input File Format

The input file must be MessagePack format containing:

• Triples: RDF subject-predicate-object relationships
• Graph Embeddings: Vector representations for semantic search

Files are typically created using tg-get-kg-core or external knowledge processing tools.

Environment Variables

• TRUSTGRAPH_URL: Default API URL (automatically converted to WebSocket format)
• TRUSTGRAPH_TOKEN: Default authentication token

Related Commands

• tg-get-kg-core - Export knowledge core to MessagePack
• tg-load-kg-core - Load knowledge core into flow
• tg-show-kg-cores - List available knowledge cores

API Integration

This command uses the Knowledge API via WebSocket connection to stream knowledge data into storage.