002_Context_Engineering

Context Engineering

Definition

    Context engineering is the practice of managing all information that enters an LLM's context.

Components:

Retrieval Context

     Information fetched from knowledge sources.

Conversation Memory

     Previous user interactions.

Application State

     Current workflow information.

Prompt Design

     Instructions guiding the model.

Storage Layer

• Vector databases
• Traditional databases
• Hybrid storage systems

The workshop positions context engineering as the next evolution beyond prompt engineering.

Real-Life Example

Imagine a shopkeeper asks:

 "How much should I charge customer Amit?"

AI needs:

  Customer name = Amit
  Products in cart
  Discount rules
  GST rules
  Wallet balance

Without this information:

  AI = Guessing

With this information:

  AI = Accurate

Providing all this information is Context Engineering.

Today: Context Engineering

Now we provide much more than a prompt.

           Prompt
              +
           Company Documents
              +
           Customer Data
              +
           Previous Chats
              +
           Current Order
              +
           Database Information
             ↓
           LLM

This is Context Engineering.