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Context Engineering for LLMs Applications: Designing prompts, memory, retrieval and context pipelines for reliable, cost-effective LLM applications
Paperback
Series: Applied LLM Systems: Production Patterns for Agents, Context, and Knowledge Graphs, Book 3
Publisher: Independently Published
Published: Sep 17 2025
Pages: 212
Weight: 0.83
Height: 0.45 Width: 7.00 Depth: 10.00
Language: English
What's inside:
- Practical prompt templates and system-message strategies for structured outputs.
- Token cost modeling and context-window optimization techniques.
- Chunking, semantic compression, and fragment re-assembly recipes.
- Embedding strategies, batching, and hybrid index maintenance.
- Memory architectures: ephemeral, episodic, and persistent memory designs.
- RAG workflows and retrieval orchestration best practices.
- Prompt-injection defenses, content filtering, and context validation checks.
- Evaluation frameworks, metrics, and test suites for context quality.
- CI/CD for prompts and context pipelines, plus A/B testing patterns.
- Operational playbooks for latency, scaling, and cost tradeoffs.
- Prompt engineers, ML engineers, SREs, and product teams shipping LLM features.
- Teams that require predictable, auditable, and cost-effective LLM behavior.
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