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

6 ай бұрын

What's a more ideal solution for storing vectors?

@brookster7772

6 ай бұрын

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

5 ай бұрын

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

@ParthSaneHD

4 ай бұрын

Pinecone works too!

@amdenis

4 ай бұрын

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.

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

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

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

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

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

This tutorial was incredible - completely glued to it

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.

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

8 ай бұрын

Same

@nicholastroyandersen9505

7 ай бұрын

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

@nickscherrer1735

7 ай бұрын

@@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

7 ай бұрын

same and without knowing english

@pauls064

2 ай бұрын

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

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.

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

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

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

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

Super high quality video right here. Good job Adrian

@AdrianTwarog

10 ай бұрын

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

Fantastic tutorial and explanation!!

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

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

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.

Excellent. Thank you. Helped a lot.

Absolutely amazing! Thank you so much for your work!

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

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

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

Love your thumbnails. Keeps getting better with each video 👍

@AdrianTwarog

10 ай бұрын

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

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!

This was a great overview Adrian!

fantastic job!

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

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

Wow! Easy, clear and to the point.

Nice work! Thanks so much for this awesome demo.

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.

Great video !!! :)

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

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

Great video ! precise..

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

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

Perfect explaination!

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?

This is great stuff, thanks.

thanks for this video video is really helpfull

great explanation ! thanks !!

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

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

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

@atursams5501

5 ай бұрын

The practical application are varied: sentiment analysis term search Classification

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

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

Nice video. I love your work.

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

Awesome Content! Thanks

[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

6 ай бұрын

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

This is amazing

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.

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

@AdrianTwarog

10 ай бұрын

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

Perfect learning ❤🎉 master of learning ❤❤❤❤

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

Excellent content, what changes for audio search?

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

Great video. THX

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.

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.

Loved it

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?

That was clean. Thank You!

thank you!

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 ?

Excellence & Awesome

excellent. thx!

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

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

9 ай бұрын

Me too, you found a solution?

thank you so much

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

excellent❤ work

The best!

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

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

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

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 KZread video, and I've never had the problem with any other KZread 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.

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?

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.

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?

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

Thank you @Ardian

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

10 ай бұрын

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

@Ricocase

8 ай бұрын

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

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

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!

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

@AdrianTwarog

10 ай бұрын

GitHub Copilot

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

Thx for content. Regards mysl database can this be achived using standard mysql? since dot_product, and JSON_ARRAY_PACK loks like functions inside of this engine.

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

Sir please can you read create the boostrap navigation bar that have off-canvas customize with nice header logo and home

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

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?

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?

Is there any way to obtain embeddings of gpts from images?

Well done, Langchain already exists...

Good

OK, it is a good video on using OpenAI to create embedding via an API. But lets say, next week. Open AI's building are destroyed by a meteor! Now, I still want to create embeddings on my dev server. Is there a software I can download and run locally that I can use until a meteor crashed on my house?