InfraNodus Graph RAGInstall

Summary

Generate a reading-augmented generation (RAG) prompt based on a knowledge graph by optionally providing text to create or update the graph, and including configurable details such as AI-generated topics, graph summaries, content gaps, statements, and the full JSON graph.

Inputs

• Graph Name — Specify the name of the knowledge graph to use or update; can be left empty if not saving the graph to InfraNodus.
• Text — Provide the input text to create a new graph; leave empty to operate on an existing graph.
• Save / Update the Graph in InfraNodus — Choose whether to save or update the graph with the given name in InfraNodus (default is not to save).
• Include Graph Summary for RAG Augmentation in Response — Choose whether to include graph summary information such as gaps and keywords in the response.
• Include Content Gaps and Topics Information — Select whether to include extended information about content gaps and topics.
• Include AI-Generated Topics — Decide if AI-generated topic names should be included for graph clusters (this may slow response).
• Include Full JSON Graph — Indicate if the full JSON representation of the graph should be included in the response.
• Include Statements in Response — Choose whether to include statements extracted from the graph in the response.

Output shape

a JSON object containing the RAG augmentation prompt and optionally additional data fields such as graph summary, AI topics, statements, and the full JSON graph depending on input options

The output includes information useful for reading-augmented generation tasks and can be customized to include detailed graph analytics and clusters. Saving or updating the graph in InfraNodus is optional and controlled by input parameters.