SKU/Artículo: AMZ-B0FJFJ7PH6

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

Disponibilidad:
Fuera de stock

Peso con empaque:
0.36 kg

Devolución:
No

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