Learn Mistral AI - JavaScript Tutorial for Building Intelligent Apps

Overview

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Dive into a comprehensive JavaScript tutorial on building intelligent applications with Mistral AI. Learn to leverage Mistral's open-source and commercial models, from basic chat completions to advanced techniques like Retrieval-Augmented Generation (RAG) and function calling. Explore how to split text documents, create embeddings, utilize vector databases, and perform knowledge retrieval using LangChain. Gain hands-on experience with AI agents, enabling conversational interactions within your apps. Discover how to run Mistral locally using Ollama for AI app development. Master essential AI engineering paradigms and create cutting-edge user experiences through this in-depth, hands-on course.

Syllabus

⌨️ Welcome to the course
⌨️ Intro to Mistral by Sophia Yang
⌨️ Sign up for La Plateforme
⌨️ Mistral's Chat Completion API
⌨️ Mistral's Chat Completion API - part 2
⌨️ Mistral's models
⌨️ What is RAG?
⌨️ What are embeddings?
⌨️ RAG - Chunking text with LangChain
⌨️ RAG - Completing the splitDocument function
⌨️ RAG - Creating our very first embedding
⌨️ RAG - Challenge: embedding all chunks and preparing it for the vector db
⌨️ Set up your vector database
⌨️ Vector databases
⌨️ RAG - Uploading data to the vector db
⌨️ RAG - Query and Create completion
⌨️ RAG - Improve the retrieval and complete the generation
⌨️ Function calling
⌨️ Function calling - Adding a second function
⌨️ Function calling - Unpacking the function and arguments
⌨️ Function calling - Making the call
⌨️ Function calling - Updating the messages array
⌨️ Function calling - Creating the loop
⌨️ Running Mistral locally
⌨️ Outro & recap - Mistral AI
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