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Context Engineering for Cognitive Agents: A Technical Guide to Building Memory, Retrieval and Context-Aware AI Agents: 2 - Brossura
Libro 2 di 3: AI Engineering for Practitioners
Sinossi
AI systems are evolving beyond simple chatbots. Cognitive agents can remember, reason, and adapt, but they only succeed if context is engineered correctly. Without the right memory pipelines, retrieval strategies, and safeguards, even the most powerful language models fail to deliver.
Context Engineering for Cognitive Agents is the first technical guide dedicated to solving this challenge. It provides developers, researchers, and innovators with a complete framework for designing agents that use context effectively to think, learn, and act.
Inside, you will learn how to:
Understand context windows, memory types, and retrieval strategies
Build memory architectures that extend beyond LLM limits
Implement Retrieval-Augmented Generation (RAG) with vector databases
Apply summarization and compression to manage context efficiently
Orchestrate reasoning and context pipelines for complex tasks
Compare frameworks like LangChain, LlamaIndex, AutoGen, and CrewAI
Secure your agents against context injection and adversarial prompts
Explore case studies of cognitive agents in research, support, and automation
Whether you are building next-generation applications, designing multi-agent systems, or researching the limits of AI cognition, this book equips you with the tools and practices to move from fragile prototypes to reliable, context-aware systems.
If you are ready to master the missing piece of AI agent engineering, this book is your essential guide.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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Paperback. Condizione: new. Paperback. AI systems are evolving beyond simple chatbots. Cognitive agents can remember, reason, and adapt, but they only succeed if context is engineered correctly. Without the right memory pipelines, retrieval strategies, and safeguards, even the most powerful language models fail to deliver.Context Engineering for Cognitive Agents is the first technical guide dedicated to solving this challenge. It provides developers, researchers, and innovators with a complete framework for designing agents that use context effectively to think, learn, and act.Inside, you will learn how to: Understand context windows, memory types, and retrieval strategiesBuild memory architectures that extend beyond LLM limitsImplement Retrieval-Augmented Generation (RAG) with vector databasesApply summarization and compression to manage context efficientlyOrchestrate reasoning and context pipelines for complex tasksCompare frameworks like LangChain, LlamaIndex, AutoGen, and CrewAISecure your agents against context injection and adversarial promptsExplore case studies of cognitive agents in research, support, and automationWhether you are building next-generation applications, designing multi-agent systems, or researching the limits of AI cognition, this book equips you with the tools and practices to move from fragile prototypes to reliable, context-aware systems.If you are ready to master the missing piece of AI agent engineering, this book is your essential guide. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798267494311
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Paperback. Condizione: new. Paperback. AI systems are evolving beyond simple chatbots. Cognitive agents can remember, reason, and adapt, but they only succeed if context is engineered correctly. Without the right memory pipelines, retrieval strategies, and safeguards, even the most powerful language models fail to deliver.Context Engineering for Cognitive Agents is the first technical guide dedicated to solving this challenge. It provides developers, researchers, and innovators with a complete framework for designing agents that use context effectively to think, learn, and act.Inside, you will learn how to: Understand context windows, memory types, and retrieval strategiesBuild memory architectures that extend beyond LLM limitsImplement Retrieval-Augmented Generation (RAG) with vector databasesApply summarization and compression to manage context efficientlyOrchestrate reasoning and context pipelines for complex tasksCompare frameworks like LangChain, LlamaIndex, AutoGen, and CrewAISecure your agents against context injection and adversarial promptsExplore case studies of cognitive agents in research, support, and automationWhether you are building next-generation applications, designing multi-agent systems, or researching the limits of AI cognition, this book equips you with the tools and practices to move from fragile prototypes to reliable, context-aware systems.If you are ready to master the missing piece of AI agent engineering, this book is your essential guide. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798267494311
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