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. Mastering Mistral 7B and RAG Systems: Opportunities and Applications
• 2. Setting Up Your Own Chat GPT at Home (Mistral and UI)
• 3. Managing the Model
• 4. Mastering Embeddings, Vector Search, and Semantic Similarity Search
• 5. Training Your Own Model with Your Own Data
• 6. Mistral backed RAG Implementation
• 7. Security use cases backed by Mistral LLM
• 8. Mistral on AWS Bedrock
• 9. Obsidian with Mistral 7B Assistant
• 10. Take-Home RAG Challenges
• 11. Exposure to Commercial Versions of Mistral Models