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Practical Context Engineering for AI systems: Design Smarter AI with Langchain, RAG, LlamaIndex and Multi-Agent Context Protocol for Context-Aware Rea
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Publisher: Independently Published
Published: Jul 30 2025
Pages: 264
Weight: 1.36
Height: 0.55 Width: 8.50 Depth: 11.00
Language: English
- Build intelligent agents using LangChain, LlamaIndex, DSPy, and Zep
- Master Retrieval-Augmented Generation (RAG) pipelines and hybrid vector search
- Implement long-term memory, dynamic prompts, and real-time context switching
-Design agentic workflows with the Multi-Agent Context Protocol (MCP)
- Optimize for scale with modular architectures, vector DBs, and memory orchestration
- Deploy real-world AI projects like research assistants, tutors, support agents, and more This hands-on, project-driven guide walks you through 11 deeply practical chapters and realistic agent deployments-equipping you with the tools, code patterns, and architectural strategies needed to make LLMs context-aware, responsive, and production-ready. Whether you're injecting knowledge into prompts, integrating memory, or designing multi-agent ecosystems, this book will show you how to go from basic prompt engineering to full-stack context mastery - all from scratch. Key Technologies Covered:
- LangChain, LlamaIndex, DSPy, Zep
- Vector Search: Chroma, FAISS, Pinecone, Weaviate
-Embeddings: OpenAI, Hugging Face, BGE
- Retrieval-Augmented Generation (RAG)
- Multi-Agent Context Protocol (MCP)
- LangGraph, AutoGen, Redis, and more What Makes This Book Stand Out?
- SEO-rich, high-demand topics: LangChain, RAG, Zep, vector DBs, DSPy, and agentic workflows
- Comprehensive frameworks: Covers foundational theory, tooling, and deployment
- From beginner to expert: No fluff, no filler - just actionable content
- Real-world use cases: Customer support bots, tutors, writers, researchers, and memory-based assistants
- Bonus Resources: Cheatsheets, setup guides, modular templates, and GitHub access If you're serious about building context-aware AI agents, mastering semantic memory, and unlocking the full potential of LLMs - this is the only book you'll need.
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