Knowledge Tree
Relations (1)
related 0.10 — supporting 1 fact
The concept of an [AI agent] is defined by a data flow process that includes memory retrieval and context maintenance, which are critical architectural components where a [hallucination] can occur if the system fails to accurately process or recall information as described in [1].
Facts (1)
Sources
Designing Knowledge Graphs for AI Reasoning, Not Guesswork linkedin.com 1 fact
procedureThe first six stages of the '12 Critical Stages of AI Agent Data Flow' are: (1) Data Intake & Parsing, which transforms user prompts, API events, webhooks, or sensor signals into structured data; (2) Short-Term Memory Retrieval, which pulls the last 3-5 conversation turns to maintain context; (3) Long-Term Context Activation, which moves historical data from cold storage into an active workspace; (4) Knowledge Base Grounding, which injects external factual data from documents, databases, and APIs to prevent hallucination; (5) Governance & Policy Injection, which applies safety rules, permission scopes, and budget limits; and (6) Multi-Hop Reasoning & Planning, where agents break down complex goals into step sequences and evaluate trade-offs.