Skip to Content

Project #2

Creating a RAG Agent for Company Knowledge Management

Objective


This SOP outlines the steps to create a RAG (Retrieval-Augmented Generation) agent that can serve as a knowledge management tool for your company.

Key Steps

 

1. Introduction to ChatGPT and Company Knowledge 0:00
  • Understand the capabilities of ChatGPT as an AI tool.
  • Recognize the importance of having a tailored AI that knows your company's specific data.
 
2. Overview of Flintic 0:10
  • Define your company and its services clearly.
  • Example: "Flintik is a company that offers AI automation services for businesses."
 
3. Building Your RAG Agent 0:50
  • Create a RAG agent that is trained on your company's data.
  • Ensure it can answer specific questions about your company.
 
4. Training the RAG Agent 2:05
  • Gather all relevant company data to train the agent.
  • Include information such as team size, roles, and specific employee details.
 
5. Implementing the Chatbot 2:23
  • Integrate the RAG agent into your website as a chatbot.
  • Allow customers to interact with the chatbot for Q&A.
 
6. Utilizing the RAG Agent for Personal Assistance 2:40
  • Use the RAG agent as a personal AI assistant.
  • It can help you remember past data, work records, and client information.
 
7. Conclusion and Next Steps 3:03

  • Review the workflow of the RAG agent.

  • Contact the development team if you wish to implement this for your own use.

Cautionary Notes

  • Ensure that the data used to train the RAG agent is accurate and up-to-date.

  • Regularly review and update the training data to maintain the relevance of the responses.

Tips for Efficiency

  • Schedule regular training sessions for the RAG agent to incorporate new data.

  • Encourage team members to provide feedback on the agent's responses to improve accuracy.

Link to Loom

https://loom.com/share/ddced52af3d243d7b91ea3893d635e30