Knowledge Prompting Agent

Overview

The Knowledge Prompting (GKP) Agent is a sophisticated reasoning system designed to improve answer quality by proactively generating relevant, factual knowledge before attempting to solve the query. Inspired by advanced research in LLM prompting, this agent mimics a multi-stage thought process: generation, reasoning, and coordination.

Capabilities

• Knowledge Generation: It first queries its internal mechanisms to generate multiple, highly relevant knowledge snippets pertaining to the input question.
• Multi-Path Reasoning: It utilizes these generated facts across several distinct reasoning paths, allowing it to explore different angles of a complex problem.
• Coordination & Synthesis: A final coordinator component synthesizes all disparate reasoning paths into one coherent, comprehensive, and well-supported final answer.

Example Use Cases

This agent excels in scenarios where simple retrieval or single-pass reasoning is insufficient. Ideal use cases include:

• Commonsense Reasoning: Answering 'Why do people tend to procrastinate?' by gathering psychological facts before forming a comprehensive explanation.
• Complex Problem Solving: Analyzing a technical scenario (e.g., diagnosing a system failure) by first generating known error codes and best practices, then reasoning through the implications.
• Factual Question Answering: When answering historical or scientific questions that require synthesizing multiple disparate facts into a narrative answer.