06/09/2025
๐โจ In just 5 weeks, Iโve completed the RAG (Retrieval Augmented Generation) course!
๐ Key takeaways from the course:
1๏ธโฃ What is RAG:
Combining information stored in a Knowledge Base with an LLM to search, retrieve, and enhance answers using AI.
2๏ธโฃ Types of Search in Knowledge Bases:
๐น Metadata Search โ for filtering.
๐น Keyword Search โ for keyword-based search.
๐น Semantic Search โ for meaning-based search.
3๏ธโฃ Vector Database:
Where information is stored in a digitized format, making it easier and faster to search.
4๏ธโฃ Prompt Engineering:
The art of crafting accurate inputs for the LLM โ a critical factor for a successful RAG system.
5๏ธโฃ RAG Security & Cost Optimization ๐ก
This course has been a game-changer in understanding one of the most powerful AI techniques! ๐ค