Тёмный

What is a vector database? Why are they critical infrastructure for  

Pinecone
Подписаться 10 тыс.
Просмотров 14 тыс.
50% 1

Zachary Proser, developer advocate at Pinecone.io, explains what #vectors are from the ground up using straightforward examples.
Zack explains why vector databases such as Pinecone enable #semantic search, a core pattern for intelligent applications that understand the intent behind the end user's queries.
Zack also explains how vector databases and the Retrieval Augmented Generation #RAG pattern fixes #llm hallucinations.

Наука

Опубликовано:

 

18 окт 2023

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 19   
@alishafii9141
@alishafii9141 8 дней назад
your explanation was great thanks. please keep go on.
@AhmedKorany
@AhmedKorany 21 день назад
I really enjoyed your explanation of what is the vector DB is and it’s role in LLM world.
@pinecone-io
@pinecone-io 12 дней назад
Thanks so much!
@barkingchicken
@barkingchicken 6 месяцев назад
Great job explaining and illustrating how RAG helps improve LLM responses and how Pinecone enables RAG at scale.
@saliexplore3094
@saliexplore3094 4 месяца назад
Your explanation of embedding spaces was on point! Thanks for sharing.
@pinecone-io
@pinecone-io 4 месяца назад
Thanks so much for the feedback, and glad it was useful!
@zenfoil
@zenfoil 3 месяца назад
Very great video explaining a complex concept
@pieter5466
@pieter5466 7 месяцев назад
24:55 Doing this for human written summaries of show X is actually a great side project idea...
@pinecone-io
@pinecone-io 7 месяцев назад
Totally! If you create something along those lines be sure to let us know
@movieoh5
@movieoh5 7 месяцев назад
I like your subtitle style! I can focus on your voice more
@harshadnaidu4294
@harshadnaidu4294 3 месяца назад
what an excellent explanation
@thelateknights
@thelateknights 2 месяца назад
One question -- it seems to me like each embedding / vector would contain a different number of dimensions. Trying to establish a master-type vector template with every single conceivable dimension represented would involve mainly blank space and be a computational nightmare (hence PCA and other dimensional reduction techniques). So if something complex like "the US Constitution" has thousands of dimensions and something like "grass" has hundreds of dimensions, how can they be compared, seeing as they reside in spaces with different numbers of dimensions? Like, you can't find the distance between an object that resides in 7 dimensional space and an object that resides in 11 dimensional space, right?
@Gabriel-wl9yy
@Gabriel-wl9yy 2 месяца назад
Is this the official channel?
@maheshh989
@maheshh989 6 месяцев назад
Good content, but the PPT Slides are hazy.. hard to understand
@donovanh7878
@donovanh7878 2 месяца назад
Unwatchable with the baked-in closed captions. You are also subverting assistive technologies when not using proper closed captions.
@JeffreyMyersII
@JeffreyMyersII 2 месяца назад
What? Since when did English become an ambiguous language? From my understanding, it's the opposite. Ambiguous languages are those like Semitic languages. Just the fact you can use a different English word to clarify an ambiguous English word is unambiguous.
@avidlearner8117
@avidlearner8117 7 месяцев назад
Your subtitles, for ADHD people like me, makes it very, very hard to focus on the actual content. To be able to turn it off would be great. Also, it hides content and is unreadable, it’s so quick an$ distracting…. 😢
@lixpiai
@lixpiai 3 месяца назад
Thanks! But please don't use the on-screen text, it's horrible! Can't watch the video because of it, soooo annoying!!!!
@ytprodata
@ytprodata 2 месяца назад
The baked-in subtitles are SO distracting. Really spoils an otherwise good presentation
Далее
How to Choose a Vector Database
1:16:28
Просмотров 18 тыс.
OpenAI Embeddings and Vector Databases Crash Course
18:41
Неадекватная стюардесса
01:00
Просмотров 1,1 млн
skibidi toilet multiverse 037 (part 2)
07:10
Просмотров 3,3 млн
What is a Vector Database?
8:12
Просмотров 42 тыс.
What is RAG? (Retrieval Augmented Generation)
11:37
Просмотров 74 тыс.
What is LangChain?
8:08
Просмотров 123 тыс.
The most important AI trends in 2024
9:35
Просмотров 195 тыс.
The Rise of Vector Data
23:50
Просмотров 49 тыс.
Самый дорогой корпус Hyte Y70
0:52
Просмотров 467 тыс.