Artículo: AMZ-B0FJLKZ352

The Context Engineering Handbook: Build reliable, high-performance LLM systems using Scalable RAG Architectures with LlamaIndex and Vector Databases

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En stock

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0.32 kg

Devolución
Sí

Condición
Nuevo

Producto de
Amazon

Sobre este producto

Ingest and chunk documents with precision
Embed and store vectors in Pinecone, Weaviate, or Qdrant
Design dynamic prompt pipelines using LangChain and LlamaIndex
Implement real-time streaming ingestion for live updates
Manage memory with hierarchical summaries and scratchpads
Secure inputs, redact PII, and maintain audit-ready logs
Practical skills to build scalable RAG architectures that serve thousands of requests per second
Hands-on expertise with LlamaIndex data structures and vector database integrations
Proven strategies for cost-monitoring, KV-cache optimization, and token-budget management
Techniques to isolate context in sub-agents and orchestrate complex workflows with Orkes Conductor or LangGraph
Security and compliance best practices, from input sanitization to immutable audit trails
Advanced methods like reinforcement-learning-driven context selection and self-validation testing