Build a Next.JS Answer Engine with Vercel AI SDK, Groq, Mistral, Langchain, OpenAI, Brave & Serper

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Building a Perplexity Style LLM Answer Engine: Frontend to Backend Tutorial This tutorial guides viewers through the process of building a Perplexity style Large Language Model (LLM) answer engine from scratch, focusing on both frontend and backend development. The tutorial covers using various technologies including Groq's inference API, Mistral AI's 'Mixtral' model, OpenAI embeddings and search engine APIs such as Brave and Serper. 00:00 Introduction to Building a Perplexity Style LLM Answer Engine 00:45 Setting Up: Cloning the Repo and Installing Prerequisites 00:55 Acquiring Necessary API Keys 02:29 Diving into Backend Development: Starting with Actions 14:19 Exploring Frontend Development: Components and State Management 19:58 Quick Overview of Custom Components 20:53 Wrapping Up and Encouragement to Experiment Repo: https://git.new/answr