Crafting Conversational Chat History with AI Assistants | Course and Power Point for Bots

The article discusses the essential fields in storing chat history for an AI assistant, including User ID, Timestamp, Message, and Sender. It highlights the use of databases like MySQL or MongoDB for efficient data storage and suggests creating a conversational chat interface with timestamps for displaying the chat history in the UI.
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Field Description
User ID Unique identifier for each user interacting with the AI assistant.
Timestamp Date and time when the chat message was sent or received.
Message The actual text message exchanged between the user and the AI assistant.
Sender Indicates whether the message was sent by the user or the AI assistant.

To store the chat history of an AI assistant, you can use a database system like MySQL or MongoDB. These databases are commonly used for storing structured data efficiently.

When displaying the chat history in the UI, you can create a chat interface that shows the messages in a conversational format. Each message can be displayed with the user's messages on one side and the AI assistant's responses on the other side. You can also include timestamps to show when each message was sent.