You're reading from Learn Mistral Elevating Mistral systems through embeddings, agents, RAG, AWS Bedrock, and Vertex AI

Product type Paperback

Published in Oct 2025

Publisher Packt

ISBN-13 9781835888643

Length 528 pages

Edition 1st Edition

Languages

Python

Concepts

GPT/LLMs

Author (1):

Pavlo Cherkashin

View More author details

Table of Contents (14) Chapters

Preface

1. Strengths, Limitations, and Use Cases of Language Models FREE CHAPTER

2. Setting Up Your Own Chat

3. Managing the Model

4. Mastering Embeddings

5. Agents: From Automation to Intelligence

6. Unpacking RAG Workflows

7. Coding with Mistral

8. Building Smarter Defenses with Mistral

9. Take-Home RAG Challenges

10. Mistral on AWS Bedrock

11. Harnessing Mistral’s Power via Google Cloud Vertex AI

12. Other Books You May Enjoy

13. Index

Workshop 2: Codestral in VS Code

Get ready to harness the incredible capabilities of Codestral! In this session, we’ll dive into its power by using the Continue dev extension for VS Code. You’ll learn how to generate code snippets, build upon existing code, and even ask Codestral to explain complex code segments.

This is just the tip of the iceberg; Codestral is designed to be your ultimate coding assistant, a true robotic hand guiding you through your development journey. By the end, you’ll be eager to explore more and experience the full potential of this groundbreaking tool. Let’s code smarter together!

Step 1: Preparing the environment

In this step, we will prepare the environment to leverage Codestral’s capabilities within VS Code. Begin by accessing Chapter-7/learn_codestral on GitHub for this workshop at https://github.com/PacktPublishing/Learn-Mistral.