This is a practical, project-driven guide to turning open-source Mistral models into production-ready AI solutions. Through hands-on workshops and use cases, you’ll learn how to build private chat systems, semantic search engines, intelligent agents, coding assistants, and secure deployments that go beyond simple experimentation.
The journey begins by exploring where Mistral excels and where human oversight is essential. You’ll then learn to set up a secure, locally hosted chat system with Ollama, customize behavior with system prompts and parameters, and dive deep into embeddings to unlock semantic search with Pinecone. As you progress, you’ll build multi-agent workflows, unpack advanced Retrieval-Augmented Generation pipelines, and integrate Mistral with Codestral to accelerate coding. You'll also learn to apply Mistral to cybersecurity, be challenged with open-ended RAG projects, and be guided through deploying scalable AI on AWS Bedrock and Google Vertex AI.
By the end of this book, you will be ready to design and build AI systems that are innovative, compliant, and production-ready.

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Spis treści

Learn Mistral. Elevating Mistral systems through embeddings, agents, RAG, AWS Bedrock, and Vertex AI eBook -- spis treści

• 1. Strengths, Limitations, and Use Cases of Language Models
• 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