Summary
In this episode, we explore generating insights from product data using a self-hosted LLM. By analyzing purchase and cart behavior, we stream actionable recommendations directly into the UI.rails llm ai background processing 22:23
Chapters
- Introduction (0:00)
- Overview of existing application (2:04)
- Adding dependencies (2:44)
- Creating the route (3:31)
- Updating the view (4:48)
- Insights create view (5:59)
- chat_stream helper method (7:53)
- Creating the prompt (10:07)
- Creating the background job (12:51)
- Creating the LLM call (14:04)
- Creating the markdown stimulus controller (19:23)
- Fat fingers (19:46)
- Demo (19:59)
- Final thoughts (20:14)
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