Answer Engine: Groq Function Calling - Next.js, AI SDK, Mixtral, Langchain, OpenAI, Brave & Serper

About this video

Repo: https://git.new/answr Implementing Conditionally Rendered UI with AI and Groq Function Calls This video tutorial covers how to create a conditionally rendered user interface based on natural language inputs using Groq function calling capabilities and Vercel AI SDK. The creator goes over three examples: setting up an interactive map using the server API and Leaflet library, creating a stock chart using TradingView, and building a simple shopping component. The tutorial builds on a previous video related to building an answer engine, expressing gratitude for the community's support and excitement for the project's future. It explains the configuration setup for function calling, details on coding functions for different UI elements, and ways to dynamically render these components based on AI's interpretation of user queries. The video also touches on handling function calls, error logging, and adjusting UI components based on the received data, concluding with an encouragement for community engagement through comments, shares, and subscriptions. 00:00 Introduction to Conditionally Rendered UI with Vercel AI SDK 00:33 Gratitude and Project Impact 01:06 Setting Up Function Calling Capabilities 01:55 Implementing Specific Functions: Maps, Shopping, and Stocks 04:19 Orchestrating Function Calls with LLM 07:56 Integrating Function Calls into the UI 08:48 Exploring New Components and Encouraging Contributions 11:18 Conclusion and Call to Action