If youโre preparing for AI/ML interviews, this is one of the MOST asked questions right now ๐ ๐ What kind of data does RAG (Retrieval-Augmented Generation) use? In this short, we break it down simply: * Structured Data (Excel, tables, formatted data) * Unstructured Data (images, videos, raw text, scraped data) ๐ก Why this matters: RAG is powering modern AI systems like ChatGPT, search copilots, and enterprise AI tools. Understanding how it works gives you an edge in interviews and real-world AI projects. โก Key Takeaways: * Structured data = organized, easy to query * Unstructured data = raw, complex, but powerful * RAG can handle BOTH using embeddings and vector search ๐ฏ Perfect for: * AI/ML interview preparation * Beginners learning RAG * Developers building AI apps ๐ Follow for more quick AI concepts explained simply. #AI #RAG #MachineLearning #AIInterview #DataScience #LLM #TechShorts #InterviewPrep
Original Description
If youโre preparing for AI/ML interviews, this is one of the MOST asked questions right now ๐
๐ What kind of data does RAG (Retrieval-Augmented Generation) use?
In this short, we break it down simply:
* Structured Data (Excel, tables, formatted data)
* Unstructured Data (images, videos, raw text, scraped data)
๐ก Why this matters:
RAG is powering modern AI systems like ChatGPT, search copilots, and enterprise AI tools. Understanding how it works gives you an edge in interviews and real-world AI projects.
โก Key Takeaways:
* Structured data = organized, easy to query
* Unstructured data = raw, complex, but powerful
* RAG can handle BOTH using embeddings and vector search
๐ฏ Perfect for:
* AI/ML interview preparation
* Beginners learning RAG
* Developers building AI apps
๐ Follow for more quick AI concepts explained simply.
#AI #RAG #MachineLearning #AIInterview #DataScience #LLM #TechShorts #InterviewPrep
DeepCamp AI