Тёмный

How to set up RAG - Retrieval Augmented Generation (demo) 

Don Woodlock
Подписаться 6 тыс.
Просмотров 7 тыс.
50% 1

When I posted my video on Retrieval Augmented Generation (RAG), I got a lot of requests to show exactly how it worked at a technical level.
RAG helps you create a ChatGPT-like experience that uses your own internal content. Instead of only accessing information from the internet, an LLM can access your PDFs or databases or any other internal content by using a RAG architecture.
I know this is a little more technical than my previous videos, so I’d love to hear from you if you thought this was interesting and if I should do more! Drop a comment so I know.
#RAG #AI #VectorDB #LLM #codetocare #artificialintelligence #machinelearning #ml #chatgpt #genai
Also, check out our VectorDB here: www.intersystems.com/news/iri...
Check out my LinkedIn: / donwoodlock
Timecodes:
00:00 - Intro
00:35 - Demo Layout in Stages
00:59 - Stage 1: Using a Simple Pass Through Prompt
01:52 - Stage 1: Desktop Demo
04:15 - Stage 2: Adding Instructions to your prompt
05:11 - Stage 2: Desktop Demo
07:18 - Stage 3: Setting up Retrieval Augmented Generation
09:05 - Stage 3: Desktop Demo
19:10 - Wrap up
---
ABOUT INTERSYSTEMS
Established in 1978, InterSystems Corporation is the leading provider of data technology for extremely critical data in healthcare, finance, and logistics. It’s cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe.
InterSystems Corporation is ranked by Gartner, KLAS, Forrester and other industry analysts as the global leader in Data Access and Interoperability. InterSystems is the global market leader in Healthcare and Financial Services.
Website: www.intersystems.com/
RU-vid: / @intersystemscorp
LinkedIn: / intersystems
Twitter: / intersystems

Наука

Опубликовано:

 

24 май 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 40   
@dbosedxc
@dbosedxc 5 дней назад
Unbelievable content. Couldn't have been any simpler than this. Thank you so much.
@Tessi42
@Tessi42 2 дня назад
Wow, Thank You
@belugaaa6649
@belugaaa6649 Месяц назад
Awesome Don, please do more of these videos explaining more about AI/ML next topic: one on Lang chain or llama model 3 which was released recently.
@dwoodlock
@dwoodlock 29 дней назад
Yes - I'll take a look.
@belugaaa6649
@belugaaa6649 28 дней назад
@@dwoodlock Thank you dan you are amazing
@funmitoadeyemi4647
@funmitoadeyemi4647 Месяц назад
You really are a teacher, made it consumable to RAG newbies, this is how videos should be lol. Thank you very much
@OstaNazir
@OstaNazir Месяц назад
I loved this explanation of RAG. I’ll share this with my team.
@nadellaella6416
@nadellaella6416 Месяц назад
The way you conveyed that information was so structured and informative. Your explanation made me grasp the concept quickly. Thank You!!!
@starter_culture
@starter_culture 26 дней назад
Best explanation I have seen to date of how RAG works.
@govindarajram8553
@govindarajram8553 22 дня назад
It's so good to see a good demo, please put more videos, I would specifically looking for RDMS database to vector database to store embeddings so my user can use AI
@MohitGupta-cz9ok
@MohitGupta-cz9ok 24 дня назад
Thanks, after watching your video I got clear understanding how we can implement RAG.
@amnguyenduyan1426
@amnguyenduyan1426 10 дней назад
Amazing video, save me ton of days to study. Thank you very much Mr. Don
@jacksonhanson154
@jacksonhanson154 Месяц назад
Very thankful Don. It would be awesome to get some timestamps throughout the video, but this is incredible as is.
@dwoodlock
@dwoodlock 29 дней назад
Ah. Good idea.
@dwoodlock
@dwoodlock 14 дней назад
Done!
@jacksonhanson154
@jacksonhanson154 14 дней назад
@@dwoodlock Awesome
@divyabhasin1379
@divyabhasin1379 2 дня назад
Great video very well explained. Do you also have a video on how to download a website into a CSV?
@bhaskarmazumdar9478
@bhaskarmazumdar9478 Месяц назад
Appreciate you taking the time to get into the weeds
@chetanpdeshpande3439
@chetanpdeshpande3439 Месяц назад
This was fantastic! Thank you!
@asheeshmathur
@asheeshmathur 13 дней назад
Excellent, made so simple.😃
@mzimmerman1988
@mzimmerman1988 17 дней назад
helpful! thanks.
@ionuta.5359
@ionuta.5359 25 дней назад
Simple and clear! Thanks!
@BKNaveen
@BKNaveen 27 дней назад
Great explanation! Is there a way i can get the code you show in the jupyter notebook please? Would like to play around with it using my dataset. That would be very helpful!
@sibims653
@sibims653 Месяц назад
Greate Explanation
@The_Reductionist
@The_Reductionist 26 дней назад
How did you turn the website into a csv file? web-scraper? if so, which one?
@sjmediaonline
@sjmediaonline 12 дней назад
Great video! Could you please do one video on RAG with knowledge graph? Thanks!
@yogeshsuryamurthy5939
@yogeshsuryamurthy5939 Месяц назад
Many thanks, Don. Your explanation was simple, clear and very helpful. To ensure that the top 5 answers are more relevant to the prompt questions, how can we verify and validate the model's output ? How can we test the bias in the data being prepared using the CSV, which is necessary to obtain the top answers? My other question is, how can we integrate these models in real-time? i.e. how to integrate these models into different HIS and CIS touchpoints (or any healthcare system, really), how to run and train these models, what additional computation (hardware requirements and increase in total cost of ownership) might be needed, and how to confirm User Acceptance Tests and seek customer sign-off before moving to production.
@dwoodlock
@dwoodlock 29 дней назад
In terms of validation, you will need to do some of this by hand - meaning a human reading the answers and verifying that they are accurate, that they represent the right tone, and that your model isn't responding to things that are off topic and/or are dangerous. These 3 could be separate validation threads.
@yogeshsuryamurthy5939
@yogeshsuryamurthy5939 23 дня назад
@@dwoodlock Thanks Don and very helpful.
@peterezkka
@peterezkka Месяц назад
love it, thank you! I appreciate these videos.
@Themojii
@Themojii 22 дня назад
Hi Don, thank you for the great video. It would be great if you could share the notebook codes 😊
@jdcage
@jdcage 20 дней назад
Great video! How did you get the content of the website? I am working on a similar project, and most of my effort seems to be scraping pages.
@fazilkagdi3290
@fazilkagdi3290 Месяц назад
Always wanted to understand how everyone all of a sudden made their own bots. Now I understand how simple it is.
@aanyaaryancoolgamers2013
@aanyaaryancoolgamers2013 12 дней назад
Great video! where can I get the code used in the video?
@pjali1
@pjali1 27 дней назад
Awesome Sir !!
@Sanu-pl8is
@Sanu-pl8is День назад
How can we use a csv file with multiple fields as the prompt may require to evaluate all fields and answer the best one.
@sanjaysitaramsoni
@sanjaysitaramsoni 21 день назад
I really fall in love with RAG, I am a Master student and I want to do some research on RAG for my upcoming Thesis Project. Can I have some suggestion from you ? articles or publications ? Thanks for this video
@paultoensing3126
@paultoensing3126 17 дней назад
So what is df?
@agusriyadi6802
@agusriyadi6802 8 дней назад
Distance Formula I think
@paultoensing3126
@paultoensing3126 17 дней назад
What is concatenate?
Далее
What is RAG? (Retrieval Augmented Generation)
11:37
Просмотров 73 тыс.
OpenAI Embeddings and Vector Databases Crash Course
18:41
How to Improve LLMs with RAG (Overview + Python Code)
21:41
RAG for LLMs explained in 3 minutes
3:15
Просмотров 12 тыс.
What is Retrieval-Augmented Generation (RAG)?
6:36
Просмотров 496 тыс.
GUITAR
0:21
Просмотров 3,5 млн
The most important AI trends in 2024
9:35
Просмотров 195 тыс.
Different types of AI
8:02
Просмотров 5 тыс.
I tried Unraid for the FIRST time in 2024
21:05
Просмотров 54 тыс.
Теперь это его телефон
0:21
Просмотров 1,7 млн
wyłącznik
0:50
Просмотров 15 млн
📱 SAMSUNG, ЧТО С ЛИЦОМ? 🤡
0:46
Просмотров 1,5 млн
Wow AirPods
0:17
Просмотров 1,1 млн