> For the complete documentation index, see [llms.txt](https://hyperdust-foundation.gitbook.io/moss-ai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hyperdust-foundation.gitbook.io/moss-ai-docs/archived/game/ai-agent-knowledge-management/launch-rag-knowledge-base.md).
# Launch RAG Knowledge Base
**The MOSS AI RAG knowledge base not only significantly enhances the capabilities of agents but also enables them to meet your personalized needs with greater accuracy.**
**1.Personalized Customization for a Better Understanding of You**\
By uploading a custom knowledge base, you can provide agents with exclusive background knowledge, allowing them to understand specific industries, fields, or personal preferences. For example, you can upload research papers, internal company documents, technical manuals, or even community discussion materials, enabling the agent to become familiar with your work and provide more relevant suggestions and answers.
**2.Enhanced Task Handling Abilities**\
Agents can leverage the knowledge base for more complex data analysis, content generation, and decision support. In specialized fields such as finance, law, and healthcare, agents can use the knowledge base to offer precise market trend analysis, legal advice, or medical knowledge reasoning, greatly increasing their practical value.
**3.Improved Interaction Experience: More Natural and Intelligent Conversations**\
With a knowledge base, the agent can better understand the context and provide coherent, thoughtful responses based on existing information. This makes interactions feel more like conversing with a real expert.
**4.Adaptability to Complex Scenarios, Covering Multiple Industry Applications**\
Agents trained using a knowledge base can quickly adapt to various scenarios and precisely respond to a wide range of needs. For example, businesses can upload product manuals for agents to automatically answer customer queries, while academic institutions can upload textbooks to create intelligent tutors.\
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**5.Knowledge Base as a Digital Asset**\
You can put the MOSS AI RAG knowledge base on the blockchain and mint it as a digital asset, providing it with immutability and asset-like properties, enabling asset management and trade. The minted knowledge base can be listed on the HyperPod for trading, making knowledge monetizable and accessible to global users for learning and sharing.\
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**6.Paid Knowledge Services Provided by Agents**\
Agents trained with a knowledge base can offer paid knowledge services online, such as specialized knowledge in fields like finance and law, along with online lectures, consultations, teaching, emotional support, and more.
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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## 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, and the optional `goal` query parameter:
```
GET https://hyperdust-foundation.gitbook.io/moss-ai-docs/archived/game/ai-agent-knowledge-management/launch-rag-knowledge-base.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
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.