# AI Agent Knowledge Management

In the MOSS AiPod2, Agent Genetic Module Prompts and RAG Knowledge Bases play distinct roles, each influencing the behavior and information retrieval capabilities of agents.<br>

**Agent Genetic Module Prompts**\
Purpose: Define the agent's persona, language style, and interaction rules, determining how it expresses itself and how it responds to users.\
Trigger: Agent prompts take effect during each inference process, influencing the overall conversational style and behavior of the agent.\
Example: An AI assistant’s prompt might be set to define it as a “witty and humorous financial analyst,” ensuring it maintains a specific tone and professionalism across all conversations.

{% content-ref url="/pages/3MNOnWq7joH25bb971WF" %}
[Edit Agent Gene Module Prompts](/moss-ai-docs/archived/game/ai-agent-knowledge-management/edit-agent-gene-module-prompts.md)
{% endcontent-ref %}

**Agent Knowledge Base**\
Purpose: Stores additional knowledge-based information. When the agent requires specific expertise or content, it retrieves and queries the knowledge base.\
Trigger: The knowledge base is only accessed when the user’s query pertains to related content.\
Example: If the knowledge base contains a "MOSS AI RAG Knowledge Base Creation Guide," the agent will search for and provide that information only when the user asks about it.

{% content-ref url="/pages/h7y1dWtMogLzGFaJ99kG" %}
[Launch RAG Knowledge Base](/moss-ai-docs/archived/game/ai-agent-knowledge-management/launch-rag-knowledge-base.md)
{% endcontent-ref %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://hyperdust-foundation.gitbook.io/moss-ai-docs/archived/game/ai-agent-knowledge-management.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.