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LLM Apps in Production (RAG + Vector DB + Caching) · Lesson

Prompt Engineering & Context Windows

Understand the context window that bounds every LLM call and learn to craft prompts that fit retrieved context, instructions, and questions together for reliable production answers.

The Context Window

Every LLM has a fixed context window — the max tokens it reads and writes per call. System prompt, retrieved docs, history, and your question all have to fit.

What Lives in the Window

A production RAG prompt packs in system instructions, retrieved context, prior history, and the current question. Exceed the window and something gets cut.

All lessons in this course

  1. Understanding LLM Apps in Production
  2. Fundamentals of Retrieval Augmented Generation
  3. Basic RAG System Architecture Overview
  4. Prompt Engineering & Context Windows
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