Artículo: AMZ-B0G8M3JBBF

VECTOR DATABASE & RAG ENGINEERING: DESIGNING SCALABLE, LOW-LATENCY RETRIEVAL SYSTEMS FOR LLMS, AI AGENTS, AND PRODUCTION APPLICATIONS

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0.20 kg
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Amazon

Sobre este producto
  • How vector databases underpin retrieval-augmented generation (RAG) and real-time AI reasoning.
  • Step-by-step architectural patterns for building high-performance, production-ready retrieval systems.
  • Expert insights into embedding strategies, indexing, graph orchestration, and memory management.
  • Hands-on, production-aware Python examples with LangChain and LangGraph, taking you from minimal prototypes to enterprise-ready deployments.
  • Techniques for optimization, testing, debugging, and secure AI deployment, including considerations for GDPR and data governance.

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