How can I improve the context retention in multi-turn chatbot conversations?

Example Concept: Use context objects to store and retrieve relevant information throughout a conversation. In Dialogflow, you can set output contexts in your intents that last for a specified number of turns, allowing the bot to remember user inputs and maintain the flow of conversation. Similarly, in Rasa, you can use slots to store information that persists across multiple interactions, ensuring the bot can reference past user inputs to provide coherent responses.