Vector Databases - Master the Core of AI in 1 Hour [Mini-course]

preview_player
Показать описание


Timestamp:
00:00 Intro
01:34 Introduction to Vector Databases
06:18 Vectors - Overview
17:53 Why are vectors used in a Vector database
21:21 Vector Databases Use cases
27:21 Building Vector Databases
28:13 Install Visual Studio Code, Python and OpenAI API
32:55 Hands-on Create a Vector DB Using Chroma
40:08 Hands-on - Code
55:23 End - Thank you!
Рекомендации по теме
Комментарии
Автор

Why I subscribed?:
- start straight to the point
- no aggressive music in the background or any other superficial and distracting effects
- concise & clear explanation
- suiting & agreeable voice

agape
Автор

Very good... worked as a DBA for the last 25 years and was trying to see how Redis works, and this video came up as a suggestion. I really enjoyed it and I think I should learn those new database technologies and some AI stuff too. thx!

WMcLovin
Автор

You have a nice voice, I’d like to train my AI to read me books in your voice

zSKWGGLEZz
Автор

your English and the way are explaining is really excellent

srinivasgollanapalli
Автор

Perfect speach, clear and concise. Improve your light, and thank you so much.

mayikx
Автор

Paulo, great video! I am taking your Packt Publishing Langchain and LLMs course offered through O'Reilly. Great to see you have a YouTube channel. I could listen to you all day! Subbed!

beachfeet
Автор

Why did you don’t have more subscribers !!? It’s exelent thank you so much!

tatovoDC
Автор

I just subscribed to the channel, thank you for your dedication, I am a beginner in this AI 🤸🚀

valean
Автор

Hey man, really love the way of your teaching.🤗

ajeetmishra
Автор

Very helpful. Thanks a lot. Hope you cross 100k subscribers soon

vijay
Автор

Subscribed. Thanks for the video. The value of this video is insane. You have some insane talent. Youtube selected me to see the content as my behavioral vector matches it :).

JGKorny
Автор

I like the way you explain things. I am interested in RAG and vector databases are an essential part of that. Thanks for sharing 🙂 .

ronaldronald
Автор

Dude you have voice of a God! Like it hit me hard but very nice. 🤯

vidyaabhimaan
Автор

Hi! In 14:48 the word 'lake' has 2 different vector representations; shouldn't there be only one? I know that some words have different meaning depending on context (i.e. 'mole' can be a either bug or a chemical measure), but here in both cases 'lake' is defined as a body of water, isn't it?
P.S. Great video! Now jumping to another one of yours :)

tomaszzielonka
Автор

hello sir, about to help more learner what about if you use ollama with free ai such as llama3 etc? rather than paid openAI and Linux...btw in Linux I learn that installing python etc are just a line of CLI codes so much easy.

RickySupriyadi
Автор

How is OpenAPI being used in the example? You explained how the create the API key and i assumed that OpenAPI would be used to generate the embeddings but I never saw the API key used later in the hands on code example. Did I perhaps just miss a step? Thanks

billkuhn
Автор

Do you have an idea of the cost of all of theses processing ? It sounds like implementing this vector base querying could become very expensive at some point ...

SimTjn
Автор

Your examples are not clear. You didn’t explain how you get the vector. Also, why a customer would export an image? Use cases- document search is one of the top usecases. Right? But it’s missed.

rajpeddisetty
Автор

9:46 what is this background template called, what is this type of editing called, that background live thing behind

rohithreddy
Автор

I want to hear this voice all day long

nykowow