Why does my AI-powered chatbot keep forgetting context and responding with irrelevant information?

I totally get why you're frustrated - you've invested a lot of time and resources into your chatbot project, and it's not performing as expected. I've been in similar situations before, and it can be really disheartening. One thing you might want to try is looking into the conversation flow and dialogue management aspects of your AI platform. Sometimes, the issue can be with how the conversations are being structured and managed, rather than the AI model itself.

I'd also suggest checking the context window size and the way your chatbot is handling user input. If the context window is too small, the chatbot might not be able to retain enough information to provide relevant responses. Additionally, you might want to experiment with different natural language processing (NLP) techniques, such as entity recognition or intent detection, to help your chatbot better understand the user's intent and context.

Another approach you could take is to try implementing a more advanced dialogue management system, such as a state machine or a graph-based approach. These can help your chatbot to better manage the conversation flow and retain context over time. I've seen some chatbot developers have success with these types of systems, so it might be worth exploring. If you're still having trouble, feel free to share more about your project and I'd be happy to try and help you brainstorm some solutions.

Lastly, don't get discouraged - building a context-aware chatbot can be a complex task, and it's not uncommon to encounter issues like this along the way. You've already made a significant investment in your project, and with a bit of tweaking and experimentation, I'm sure you can get your chatbot performing the way you want it to. Good luck, and I hope you're able to get things sorted out soon!