๐๐ ๐ฝ๐น๐ฎ๐ถ๐ป๐ถ๐ป๐ด ๐ฅ๐ฒ๐๐ฟ๐ถ๐ฒ๐๐ฎ๐น-๐๐๐ด๐บ๐ฒ๐ป๐๐ฒ๐ฑ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป (๐ฅ๐๐) ๐ถ๐ป ๐ฆ๐ถ๐บ๐ฝ๐น๐ฒ ๐ง๐ฒ๐ฟ๐บ๐
Hey Medium community! Today, I want to shed light on a fascinating concept in Artificial Intelligence and natural language processing called ๐ฅ๐ฒ๐๐ฟ๐ถ๐ฒ๐๐ฎ๐น-๐๐๐ด๐บ๐ฒ๐ป๐๐ฒ๐ฑ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป (๐ฅ๐๐).
Let's break it down into simple terms and see how it works through a practical Q&A example.
๐ค ๐ช๐ต๐ฎ๐ ๐ถ๐ ๐ฅ๐๐?
๐ฅ๐๐ combines two powerful techniques:
1. ๐ฅ๐ฒ๐๐ฟ๐ถ๐ฒ๐๐ฎ๐น: Searching a database or knowledge base to find relevant information.
2. ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป: Using an AI model to create natural language text.
Think of it as an enhanced AI that not only knows how to generate text but also knows where to find the best information before generating the text.
๐ ๐จ๐๐ฒ ๐๐ฎ๐๐ฒ: ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐ฆ๐๐ฝ๐ฝ๐ผ๐ฟ๐ ๐๐ต๐ฎ๐๐ฏ๐ผ๐
Imagine a tech company uses a chatbot to assist customers with troubleshooting their devices. Let's look at how RAG can enhance this process through a Q&A example.
๐๐๐๐๐ผ๐บ๐ฒ๐ฟ ๐๐ป๐๐ฒ๐ฟ๐ฎ๐ฐ๐๐ถ๐ผ๐ป ๐ช๐ถ๐๐ต๐ผ๐๐ ๐ฅ๐๐:
