Access the Large Memory Node
- Navigate to the "Data" section where you should see options for "Small Memory" and "Large Memory."
Upload Documentation
- Select the "Large Memory" option.
- Use the upload feature to add your documentation, which can be full-length books or extensive manuals, into the large memory node. This documentation will act as a reference source for the AI.
Program Your Chatbot (Optional)
- If applicable, program your chatbot with a specific persona. In this case, a character named Carl, who is a Yeti.
- Input characteristics and responses that fit Carl's personality into your chatbot settings.
Utilize Text Nodes
- Create smaller text nodes that will serve as intermediaries between your uploaded documentation and the flux prompt or main text generator node.
- These text nodes allow you to modify variables before they reach the main processing unit of your AI.
Set Up Small Memory (Optional)
- Establish a small memory node if you want your chatbot to remember previous parts of the conversation.
- This helps in maintaining context during an interaction with users.
Test Your Setup
- Open up the chat section within your AI platform. It's usually located at the bottom right of the interface.
- Choose your programmed chatbot (in this case, Carl) from different available options.
Engage With Chatbot
- Start chatting with your bot by asking questions relevant to the uploaded documentation.
- The bot should respond using information from both its programmed persona and referencing details from the large memory node.
Example Interaction:
1. Ask who Carl is; expect a response based on his persona built into the system.
2. Inquire about getting started with services offered by 'motivosity' (the example company), assuming their information has been uploaded into large memory.
Handle Specific Queries
- Pose more detailed questions like issues with reward cards or account creation steps.
- The bot should check against its large memory database for related information instead of searching externally online.
Note: Ensure that you have only uploaded relevant sections of data needed for demonstration purposes or actual use cases.
Leverage Personalization for Customer Engagement
Recognize that this approach allows for personalized interactions between customers and businesses by programming bots with distinct personalities and knowledge bases tailored to specific needs.
By following these steps, you'll be able to effectively use a large memory node within an AI platform's chat feature, providing accurate and personality-driven assistance based on comprehensive documentation.