Scalable AI Agent Engineering
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Home > Computing and Information Technology > Computer science > Artificial intelligence > Scalable AI Agent Engineering: Extend Context Windows and Implement Reliable Memory Systems with Semantic Kernel and Modern Vector Stores(Agentic AI Systems & Workflows)
Scalable AI Agent Engineering: Extend Context Windows and Implement Reliable Memory Systems with Semantic Kernel and Modern Vector Stores(Agentic AI Systems & Workflows)

Scalable AI Agent Engineering: Extend Context Windows and Implement Reliable Memory Systems with Semantic Kernel and Modern Vector Stores(Agentic AI Systems & Workflows)


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About the Book

Scalable AI Agent Engineering: Extend Context Windows and Implement Reliable Memory Systems with Semantic Kernel and Modern Vector Stores Struggling to build AI agents that retain crucial context as conversations grow and data volumes explode? You're not alone-developers everywhere face the same hurdle: context windows that choke, memory systems that buckle, and costly workarounds that never scale. Scalable AI Agent Engineering delivers a hands-on, code-first blueprint to conquer these challenges using Microsoft's Semantic Kernel and today's leading vector stores. You'll learn how to stretch context windows beyond their limits and design memory architectures that are both reliable and cost-effective-so your AI agents stay sharp, coherent, and lightning-fast. Inside, you'll discover how to: Initialize and customize Semantic Kernel in Python and .NET for seamless agent development Construct layered memory (short-term buffers, vector indexes, long-term archives) that balances speed with depth Integrate modern vector stores-FAISS, Pinecone, Qdrant, Redis-for blazing-fast semantic search and retrieval Implement RAG pipelines that ground your agents' answers in real data, slashing hallucinations Automate context management with sliding-window buffers, summarization cascades, and auto-compression routines Orchestrate multi-agent workflows that share memory, coordinate tasks, and handle complex pipelines from document ingestion to invoice generation Deploy and scale on Kubernetes with autoscaling, telemetry, structured logging, and robust monitoring Benchmark cost vs. performance across embeddings and LLM models to optimize every dollar you spend By the final page, you'll wield a production-ready toolkit for building AI companions that remember everything-and forget nothing that matters. Whether you're crafting chatbots, research assistants, or Copilot-style integrations, this book gives you the patterns and code to ship scalable, reliable agents today. Ready to transform your AI development and outpace the competition? Secure your copy of Scalable AI Agent Engineering now-and start engineering agents that truly scale.


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Product Details
  • ISBN-13: 9798292439721
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 170
  • Returnable: N
  • Spine Width: 9 mm
  • Weight: 304 gr
  • ISBN-10: 8292439722
  • Publisher Date: 14 Jul 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: Agentic AI Systems & Workflows
  • Sub Title: Extend Context Windows and Implement Reliable Memory Systems with Semantic Kernel and Modern Vector Stores
  • Width: 178 mm


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