RAG Architecture Simulation 🧠

Master Retrieval Augmented Generation step-by-step.

✅ Pipeline Checklist

Identify external data sources (PDFs, DBs) not in the LLM.
Extract raw text using document loaders.
Split text into smaller chunks for the context window.
Convert chunks to vectors using an embedding model.
Save vectors in Pinecone/Chroma for similarity search.
Get the natural language question from the user.
Embed query and find top-k similar chunks.
Combine query and retrieved chunks into a prompt.
Pass augmented prompt to LLM for final answer.
Check for accuracy and hallucinations; refine chunks/retrieval.

🐙 Repository Setup

To become a Delivery Pilot, you need to fork and clone the official repository. Run the following commands in your terminal:

# 1. Fork the repository on GitHub first # Visit: https://github.com/rifaterdemsahin # 2. Clone your forked repository git clone https://github.com/YOUR_USERNAME/delivery-pilot.git # 3. Navigate into the directory cd delivery-pilot

🏆 Certificate Submission

Completed the simulation? Submit your running repository link to generate your certificate and validate your pilot status.

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🎓 Self-Assessment
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