Post

What is a RAG?

RAG = Query + Prompt + Context + LLM ~ RSVP ๐Ÿ‘‰ https://by-hand.ai/rag

What is a RAG? This is a simple equation I came up with to conceptualize my understanding of what a RAG is.

On May 16th, Thursday, I will give a webinar:

Beginnerโ€™s Guide to RAG

If you want to hear me explain my RAG equation, please join the webinar. The RSVP link is above.

#rag #vectordatabases #aibyhand

โ€“๐—–๐—ผ๐—ป๐—ฐ๐—ฒ๐—ฝ๐˜๐˜€ โ€“

I will cover the key concepts involved in the RAG equation:

โ€ข Indexing โ€ข Loading โ€ข Splitting โ€ข Embedding โ€ข Storing โ€ข Retrieval โ€ข Augmentation โ€ข Generation

If time permits, I may talk about advanced techniques such as

โ€ข Multi-query โ€ข Contextual Compression

โ€“ ๐— ๐—ฎ๐˜๐—ต โ€“

As always, you should expect math in my webinar. But I assure you the math will be fun, accessible, and useful.

โ€“ ๐—ง๐—ผ๐—ผ๐—น๐˜€ โ€“

I will include examples about a range of useful tools, such as SingleStore LlamaIndex Superlinkedโ€™s API Hugging Faceโ€™s MTEB Leaderboard

โ€“ ๐—›๐—ผ๐˜€๐˜๐˜€ โ€“

Matt Brown Akmal Chaudhri, Esq. They were wonderful hosts for the previous webinar on vector databases. Iโ€™m glad they will be hosting me again. I know I am in good hands. ๐Ÿ™Œ

RSVP ๐Ÿ‘‰ https://by-hand.ai/rag REPOST โ™ป๏ธ to help more people know about this webinar.

 What is RAG?

Translate to Korean

RAG = ์ฟผ๋ฆฌ + ํ”„๋กฌํ”„ํŠธ + ์ปจํ…์ŠคํŠธ + LLM ~ RSVP ๐Ÿ‘‰ https://by-hand.ai/rag

RAG๋ž€ ๋ฌด์—‡์ž…๋‹ˆ๊นŒ? ์ด๊ฒƒ์€ RAG๊ฐ€ ๋ฌด์—‡์ธ์ง€์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ๊ฐœ๋…ํ™”ํ•˜๊ธฐ ์œ„ํ•ด ์ƒ๊ฐํ•ด ๋‚ธ ๊ฐ„๋‹จํ•œ ๋ฐฉ์ •์‹์ž…๋‹ˆ๋‹ค.

5์›” 16์ผ ๋ชฉ์š”์ผ์—๋Š” ์›จ๋น„๋‚˜๋ฅผ ์ง„ํ–‰ํ•ฉ๋‹ˆ๋‹ค.

RAG ์ดˆ๋ณด์ž ๊ฐ€์ด๋“œ

์ œ RAG ๋ฐฉ์ •์‹์— ๋Œ€ํ•œ ์„ค๋ช…์„ ๋“ฃ๊ณ  ์‹ถ์œผ์‹œ๋ฉด ์›จ๋น„๋‚˜์— ์ฐธ์—ฌํ•˜์‹ญ์‹œ์˜ค. RSVP ๋งํฌ๋Š” ์œ„์— ์žˆ์Šต๋‹ˆ๋‹ค.

ํ•ด์‹œํƒœ๊ทธ#rag ํ•ด์‹œํƒœ๊ทธ#vectordatabases ํ•ด์‹œํƒœ๊ทธ#aibyhand

โ€“๊ฐœ๋…โ€“

RAG ๋ฐฉ์ •์‹๊ณผ ๊ด€๋ จ๋œ ์ฃผ์š” ๊ฐœ๋…์„ ๋‹ค๋ฃจ๊ฒ ์Šต๋‹ˆ๋‹ค.

โ€ข์ธ๋ฑ์‹ฑ โ€ข๋กœ๋“œ โ€ข๋ถ„ํ•  โ€ขํฌํ•จ โ€ข์ €์žฅ โ€ข๊ฒ€์ƒ‰ โ€ขํ™•๋Œ€ โ€ข์„ธ๋Œ€

์‹œ๊ฐ„์ด ํ—ˆ๋ฝํ•œ๋‹ค๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ณ ๊ธ‰ ๊ธฐ์ˆ ์— ๋Œ€ํ•ด ์ด์•ผ๊ธฐ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

โ€ข ๋‹ค์ค‘ ์ฟผ๋ฆฌ โ€ข ์ƒํ™ฉ๋ณ„ ์••์ถ•

โ€“์ˆ˜ํ•™โ€“

ํ•ญ์ƒ ๊ทธ๋ ‡๋“ฏ์ด ์ œ ์›จ๋น„๋‚˜์—์„œ ์ˆ˜ํ•™์„ ๊ธฐ๋Œ€ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ˆ˜ํ•™์€ ์žฌ๋ฏธ์žˆ๊ณ , ์ ‘๊ทผํ•˜๊ธฐ ์‰ฌ์šฐ๋ฉฐ, ์œ ์šฉํ•  ๊ฒƒ์ด๋ผ๊ณ  ์žฅ๋‹ดํ•ฉ๋‹ˆ๋‹ค.

โ€“๋„๊ตฌโ€“

๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋‹ค์–‘ํ•œ ์œ ์šฉํ•œ ๋„๊ตฌ์— ๋Œ€ํ•œ ์˜ˆ๋ฅผ ํฌํ•จํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค. SingleStore LlamaIndex Superlinked ์˜ API Hugging Face ์˜ MTEB ๋ฆฌ๋”๋ณด๋“œ

This post is licensed under CC BY 4.0 by the author.