OpenAI Embeddings and Vector Databases Crash Course

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Embeddings and Vectors are a great way of storing and retrieving information for use with AI services. OpenAI provides a great embedding API to do this. Postman lets you make these with easy at www.postman.com/ (today's sponsor)
In this video we will explore how to create a Vector Database by creating embeddings using the OpenAI API and then storing them in SingleStore.
The first part of the video will cover how to create an embedding using just API requests with Postman. Then we will jump into Single Store and store these in a new database made specifically for vectors like this.
00:00 - Introduction
00:10 - What are Embeddings and Vectors
02:14 - Setup OpenAI Embeddings
03:11 - Setup Postman API Requests to create Embeddings
03:55 - Create Embedding
03:55 - Create Embedding
06:55 - Create PDF or Document Embedding
07:43 - Vector Database - Setup with SingleStore
08:20 - Vector Database - Create Database
09:32 - Vector Database - Create Table
10:41 - Vector Database - Insert Embedding Row
13:25 - Vector Database - Search Embeddings
15:18 - Embedding function with JavaScript and NodeJS
18:08 - OpenAI and GPT Digital Book
18:29 - Conclusion
Postman: (today's Sponsor) for API Requests
www.postman.com/
OpenAI Embedding Documentation:
platform.openai.com/docs/api-...
SingleStore Vector Database
www.singlestore.com/cloud-tri...
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9 июн 2024

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Комментарии : 170

@user-zy5nu7xp1d 10 месяцев назад

I have seen multiple tutorials, this is by far the best and most concise, great work man

@aiadvantage 11 месяцев назад

Super high quality video right here. Good job Adrian

@AdrianTwarog 11 месяцев назад

Hey I've seen your stuff too, it's great, thanks for the nice words!

@LindsayHiebert 11 месяцев назад

Excellent overview! Very concise, clear and relevant! Great job! Thank you Adrian! 😊

@krisograbek 11 месяцев назад

Adrian, your channel is a gem! I love the way you explain complex topics and the pace of your videos! Greetings from Poland!

@nickkondoori7550 9 месяцев назад

Incredible teaching skills. First time ever, I loved someone who can teach "ME" the way I always wanted. Thousand thumbs up Adrian!!

@photorealm 2 месяца назад

That was the first video that actually gave me a understanding of how vector DB's kind of work. Thank you for sharing.

@TheOGDesigner 10 месяцев назад

Amazing tutorial! The way you explain is so easy and understandable!

@SuperITPRO 10 месяцев назад

My ADHD normally overrides my concentration. Your tutorial pace, live coding, and narrative made me complete my 1st Open AI coded app - thank you!

@zzej 9 месяцев назад

Same

@nicholastroyandersen9505 9 месяцев назад

Don't use ADHD as an excuse, it ain't no sickness, just personality. Take it and make it your best quality.

@nickscherrer1735 9 месяцев назад

@@nicholastroyandersen9505it’s…. Not a personality, lmfao. It’s a very clear set of learning disabilities centered around working memory, executive function, and tuning out

@davidabellangarrido2056 8 месяцев назад

same and without knowing english

@pauls064 4 месяца назад

@@nicholastroyandersen9505it’s literally a neurological condition that can be seen on scans and measured… ignorant comment

@nickfleming3719 10 месяцев назад

That isn't a vector database. It's a relational database with vectors stored on a text column. In practice, you will have thousands of embeddings and performance will tank with this setup

@trevorbaier7072 7 месяцев назад

What's a more ideal solution for storing vectors?

@brookster7772 7 месяцев назад

From my investigation, Redis is an excellent vector store to be used in both development and production especially when it’s a local Dockerized instance

@SussyBacca 6 месяцев назад

Mongodb atlas is awesome for vectors. They have a new vector feature called knnbeta

@ParthSaneHD 6 месяцев назад

Pinecone works too!

@amdenis 6 месяцев назад

You are correct, but you know that! It’s indexing is not fast enough for many serious AI projects, and its single threaded architecture does not scale. Under the hood there are many other non-vector legacy issues.

@coinexponent1884 10 месяцев назад

Learn vector embeddings using first principles. Always engaging, and very rewarding for the learner. Thank you!

@phil97n 9 месяцев назад

Awesome thanks. Been studying calculus and linear algebra before I dive deep into AI. I will definitely be dealing with vector databases very soon and looking forward to it.

@saik6730 8 месяцев назад

Best AI video ever . Made it easy to understand with 2 simple concepts . Thanks man!

@rasmuspiirtola4397 7 месяцев назад

Rarely comment, but damn, you did a perfect job - I am at 8:01, haven't watched the video but had to pause and comment - until 8:01, everything was perfect; how you explain concepts and utilize tools ensures that we understand the concept in practice with ease! Great job, continue making videos; you should do consulting if you don't already do so. It's easy money with little hours with your skills and knowledge!

@anrk97 11 месяцев назад

Love your thumbnails. Keeps getting better with each video 👍

@AdrianTwarog 11 месяцев назад

Thanks, I try to make them as clear to what they video represents as possible!

@RajShekarsdreamzzz 9 месяцев назад

Very Good session Adrain... your way of teaching is keeping the people glued... Keep it up

@JeremyArtero 8 месяцев назад

This course is gold! Thanks! I have done similar steps on Astra db and it was smooth

@munishtyro 4 дня назад

Simple, concise, and has everything in it. Thank You

@daygo619ca 9 месяцев назад

This tutorial was incredible - completely glued to it

@rkjellbe 10 месяцев назад

Finally, found a video with the appropriate detail. For me! 😊 Thank you!

@AmanBansil 3 месяца назад

Absolutely LOVE this. you're so clear and concise.

@dipayanroy964 2 месяца назад

I wish everyone could have presented like you, simply Super. Looking forward for more in similar way

@satanrasool1802 10 месяцев назад

Love it.. it was far simpler than I thought..

@ZaidKhanPathan 8 месяцев назад

Wow! Easy, clear and to the point.

@ravindrasingh2411 3 месяца назад

Adrian, this is beautifully explained. Absolutely loved it :)

@LeonardoCarreraBaude 9 месяцев назад

I just bought 2 Udemy courses, and after 5 hours, none of them talk so well about this. I appreciate it, and I will buy your book. Thanks for your content.

@brookster7772 7 месяцев назад

Bare metal, removing all higher level obstructions going right down to the core. I love it the best understanding of what embedding’s earlier that I have seen great job.

@sunnysk43 7 месяцев назад

Absolutely amazing! Thank you so much for your work!

@adamduvick 9 месяцев назад

Let me see if I understand what’s going on here: 1) you have data you want to search semantically 2) you create a vector database capable of storing & querying data semantic search queries 3) you use OpenAI to process your data & convert it to vectors which can stored in your database 4) you store the data along with the OpenAI generated vectors 5) now you can search the data Is that all it is? I thought you were then going leverage this database to give chatgpt “long term memory” ( 0:20 ). What you’ve showed seems nice, but I don’t really see the point since most people/companies who have enough data that would need to be queried in this way would not be able to give it away to OpenAI to process.

@robertcormia7970 5 месяцев назад

Well done, succinct, and excellent explainations of complex topics.

@kfliden Месяц назад

Wow, thanks I'm finally starting to get embeddings!

@codinginflow 7 месяцев назад

This was a great overview Adrian!

@chrislannon 4 месяца назад

Nice work! Thanks so much for this awesome demo.

@karsonkalt7607 8 месяцев назад

Fantastic tutorial and explanation!!

@Glow0110 7 месяцев назад

Would be great to see a follow up video of practical applications using this.

@atursams5501 7 месяцев назад

The practical application are varied: sentiment analysis term search Classification

@sany2k8 11 месяцев назад

Great content 👍👍👍, waiting for more OpenAI, AI related content

@demetriusmds 10 месяцев назад

Excellent. Thank you. Helped a lot.

@cmdrls212 20 дней назад

This is great. I had to learn this in a crunch and I grok it now.

@nadershalabi6241 15 дней назад

Thank you! Great walk through

@CodexCommunity 11 месяцев назад

This is the best video on openai embeddings I have ever seen, I am also a bit biased!

@adavis912 4 месяца назад

Great tutorial!!! I will be buying your book.

@karthikg752 10 месяцев назад

The voice recording and explanation is really clear - surprising how tone and voice plays a major role in understanding. Was watching another video which was equally good but somehow the slang and recording made it a bit difficult to understand. Thanks

@nrusimha11 10 месяцев назад

Crisp and to the point, thank you. Can I ask how you made the slides like the one at 0:52?

@omangramoswaane2211 10 месяцев назад

Nice video. I love your work.

@pajisounds 11 месяцев назад

Nice video, it would have been nice with a demonstration at the end or intro, keep up the good work.

@AdrianTwarog 11 месяцев назад

Oh good suggestion, I’ll do that next time!!

@user-uw6ld2dp9z 6 месяцев назад

Perfect explaination!

@andrey20111988 13 дней назад

Also you can use in postman "Test", which can help you create a script to create a string with requested input and response data. Automate it! (If you need)

@user-qg5bo9bd5x 5 месяцев назад

great explanation ! thanks !!

@mohammadbarzegari8737 6 месяцев назад

Perfect learning ❤🎉 master of learning ❤❤❤❤

@rafaelmartinsdecastro7641 10 месяцев назад

This is great stuff, thanks.

@parkerrex 9 месяцев назад

Great video !!! :)

@alexsalgado 11 месяцев назад

Excellent content, what changes for audio search?

@Kevin509wisdom 9 месяцев назад

fantastic job!

@SarthakAgarwal-sm1gp 2 месяца назад

Awesome Content! Thanks

@joostschuur 11 месяцев назад

How would I go about weighing the results by other meta data? Say I have a bunch of videos, and I'm searching the title/description, but want to give some amount of preference to newer videos too.

@FahadKiani1 10 месяцев назад

Will you create a second part of this video where PDF's are uploaded and then analyzed?

@matickovac Месяц назад

Great work presenting this! Do you happen to know how similar or different this is from what Elasticsearch does when performing full-text search?

@Art-kz6zf 8 месяцев назад

How efficient is the vector search if you need to go through all of the records every time you search? Shouldn't there be some dedicated field type for embeddings other than blob?

@abijithpradeep7478 9 месяцев назад

For those who already had an OpenAi account and you are facing an error while posting the HTTP request, its because your free credit has expired. You will have to add a payment method or createa new account to get free credits agin and then everything will work fine according to this tutorial.

@PeterAdiSaputro 10 месяцев назад

In the past, I learned Support Vector Machines for doing classification. At that time, I struggled to learn the concept, although I finally was able to implement it into a program using codes made by another party. The introduction of this video suddenly revived the memory and helped me better understand the concept of SVMs that I learned years ago. Is Postman completely free and can be used without any restrictions or limitations ? Is Single Store also completely free without any restrictions or limitations ?

@user-vm2er4qj9w 9 месяцев назад

thanks for this video video is really helpfull

@shpop1 9 месяцев назад

Great video ! precise..

@joergmayer3741 10 месяцев назад

Great video. THX

@curtisblake261 5 месяцев назад

I like this video and I don't mind all the upselling. My only complaint is that if I pause the video for too long, it automatically sends me to another video in the series, which makes it hard to get back to where I was. You might assume it is user error, but it isn't. The automatic transferal and loss of context happens constantly with this RU-vid video, and I've never had the problem with any other RU-vid tutorial. I'm fine with the monetizing and upselling since it helps reward the content creator, I just wish it wouldn't keep making me lose my place in the tutorial.

@atursams5501 7 месяцев назад

Great work! How do you make these nice presentations with the fancy arrows?

@corejava5730 9 месяцев назад

Very well explained, Thanks Adrian !! I have astaffing firm and I have a database of more than a million resumes. I m planning to create a resume search application for my recruiters. Do you think I should be using combination of Embeddings and Vector Database for above use case.

@BryanChance 6 месяцев назад

Does the chuck size have an affect on the quality or accuracy of the search result? Let's say I split a document into words AND in 200 word chucks. The vector results are stored in a vector db.

@FalahgsGate 10 месяцев назад

excellent❤ work

@chrismalingshu 9 месяцев назад

[Question] When input hello earth, "Hello World" scored 0.89, meanwhile "OpenAI Vectors and Embeedings are Easy!" scored 0.74. Which is quite close to the top rank text. But syntactically first and second returned text are very different. Somehow I expect the second text might scored 0.5 and below. Could you please share your thoughts on this Adrian? Thank you!

@daffertube 7 месяцев назад

You would need to ask someone who built the transformers at openai.

@madhavanand756 11 месяцев назад

Excellence & Awesome

@KaptainLuis 4 месяца назад

thank you!

@user-jj7zt1tz6h 11 дней назад

This tutorial is well explained. Thanks for that. But could you explain how to do this on scale? Is it possible to have a no code tool that companies can use to store their data in a vector database? Also, retrieving this info later? It seems that there must be easier solutions for this right? (while also keeping it safe to use).

@MannyBernabe 3 месяца назад

excellent. thx!

@pablochacon7641 10 месяцев назад

Very interesting video, but what are the prerequisites to understand & actually implement this ?

@balajidasari9114 3 месяца назад

This is amazing

@GenZManhood 10 месяцев назад

I get this message when I run the API. Do you need to pay OpenAI for it to work? Thanks! "error": {"message": "You exceeded your current quota, please check your plan and billing details.",

@user-xx8xg5yf4d 10 месяцев назад

Me too, you found a solution?

@diamond2869 4 месяца назад

thank you so much

@user-wf2ok2tq1z 8 месяцев назад

I'm a little confused.. If I created embeddings and which I'm assuming is essentially training the openai model on a specific topic for my company. Would it be able to answer questions only on the specific topic it was trained for?

@xspydazx Месяц назад

yes but how do you save a vector store ? ie export it to json for upload or finetuning into the main lm ?

@ewhite_dipi 9 месяцев назад

what are the prerequisites to understand the content in this video? And where can I learn them?

@KlrStng 10 месяцев назад

Does your book explain what kind of database that Single Store is using, and what their proprietary function "json_array_pack" is actually doing? I would like to try this out but don't want to use a service like Single Store as I prefer to just use an AWS RDS database instead (or anything that I can have full control over, or even host myself), but that function is not a real SQL function and I don't understand exactly what is going on in the background here. It looks like the Single Store function is doing some kind of encrypting of the json array data, but it's unclear in their documentation. On a different note, is converting text to vector data more efficient and more accurate for searching than something like a simple SQL "like" query, or fulltext searching? How about compared to something like SphinxSearch or AWS Elastisearch?

@Ricocase 9 месяцев назад

Cool course. How does one connect it to a basic website?

@noubgaemer1044 5 месяцев назад

thanks for the tutorial can we use our own LLM like private GPT or Text-generation Web UI instead of OPENAI

@mahanteshg609 3 месяца назад

Loved it

@defaultdefault812 9 месяцев назад

Well done, Langchain already exists...

@meirgoldenberg5638 10 месяцев назад

How in the world did it get 0.74 score (which pretty high on the scale for 0 to 1!) for the similarity of "Hello Earth" and "OpenAI vectors and embeddings are easy"? Is there anything in common between the two?

@zibitappert 10 месяцев назад

would it be possible to use this for an AI NPC for training purposes in XR space for example?

@gman2036 4 месяца назад

Loved this tutorial Adrian, very straight forward and it worked the first time not like some others I've tried. Now for my question. I'm seeing this on February 2024. I did not know CHATGPT, BARD and those other AI apps until they hit the common pool that I must swim in. I take it that vectoring documents has been going on for awhile, outside of the math world. I knew of vectoring back from college in linear algebra. If this is the case, what I'm trying to do will not be new. I'm trying to vectorize my documents in order to practice doing this kind of work. So, are there IT companies out there doing this type of work already and can you name a few? How far have they gotten? Has someone already done the library of Congress for instance?

@edoson01 11 месяцев назад

Blows my mind you've spent 18m talking about the How and 30sec about the why and what.

@veeresh5341 3 месяца назад

Thank you @Ardian

@sivakumarkalaiselvan6831 6 месяцев назад

Hi Bro, What is the extension u used in the vs code for the code suggestions?

@KnowledgeKingVideos 5 месяцев назад

The best!

@MRGCProductions20996 3 месяца назад

isnt calculating the modulus of the subtraction of the vectors a more accurate way to find similarities?

@cliffordmwale5782 6 месяцев назад

This is very useful. Could you also do embedings of CSV files? I have files amounting up to 5 million rows

@contactbhasker7483 9 месяцев назад

dot_product is a function offered by this database for vector searching, ranking etc.. ?

@Adam9174X 11 месяцев назад

I loved your video about ChatGPT Clone! Could you please make a new video to further improve the clone? For example, you could demonstrate how to make the website width responsive to work on all devices. Additionally, it would be great if you could show how to add some new features, such as a cool typewriter effect for the ChatGPT responses. Another useful addition would be to highlight the code generated by ChatGPT using a React syntax highlighter. This can be achieved by enclosing the code between the tags ``` and ```. I actually made a ChatGPT Clone and published it. . I added new features to my web app using your videos. Thank you very much!

@psyduck4763 6 месяцев назад

Hey man, what are those fonts you've used in this video?

@fkxfkx 11 месяцев назад

Bought the book. It ended on page 54, is there anything after 54 to 58? Last example was open ai fine tuning. It leaves the ft up on open ai site. How long will it be available there? Can it be brought down locally and be used in the future as local in combination with cloud model?

@AdrianTwarog 11 месяцев назад

I’ll double check, and any updates will automatically be enabled on Gumroad!

@Ricocase 9 месяцев назад

@@AdrianTwaroghow to automate text importation with sql? Must one enter each text blob manually?

@pranavkm4513 11 месяцев назад

wow great video sir. Helped a lot. may i know what extension is being used in 16:40 ?

@AdrianTwarog 11 месяцев назад

GitHub Copilot

@pazhani008 3 месяца назад

how does SingleStore know the embeddings returned from OpenAI and searches it correctly in its vector db?

@akshatkant1423 2 месяца назад

I am looking forward to generate a pretty lengthy json about 25k tokens, None of the llm models currently support that much output response tokens, do you think is it possible if i somehow get embeddings in response which later on i can convert to json then my aim to generate 25k tokens could be possible. Because embeddings will take lesser token size?