OpenAI Embeddings and Vector Databases Crash Course
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- čas přidán 27. 05. 2024
- 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...
⭐ Teach Me OpenAI & GPT - Digital Book ⭐
enhanceui.gumroad.com/l/teach...
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My ADHD normally overrides my concentration. Your tutorial pace, live coding, and narrative made me complete my 1st Open AI coded app - thank you!
Same
Don't use ADHD as an excuse, it ain't no sickness, just personality. Take it and make it your best quality.
@@nicholastroyandersen9505it’s…. Not a personality, lmfao. It’s a very clear set of learning disabilities centered around working memory, executive function, and tuning out
same and without knowing english
@@nicholastroyandersen9505it’s literally a neurological condition that can be seen on scans and measured… ignorant comment
I have seen multiple tutorials, this is by far the best and most concise, great work man
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
What's a more ideal solution for storing vectors?
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
Mongodb atlas is awesome for vectors. They have a new vector feature called knnbeta
Pinecone works too!
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.
Excellent overview! Very concise, clear and relevant! Great job! Thank you Adrian! 😊
Incredible teaching skills. First time ever, I loved someone who can teach "ME" the way I always wanted. Thousand thumbs up Adrian!!
Adrian, your channel is a gem! I love the way you explain complex topics and the pace of your videos! Greetings from Poland!
Learn vector embeddings using first principles. Always engaging, and very rewarding for the learner. Thank you!
That was the first video that actually gave me a understanding of how vector DB's kind of work. Thank you for sharing.
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.
Amazing tutorial! The way you explain is so easy and understandable!
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 course is gold! Thanks! I have done similar steps on Astra db and it was smooth
Best AI video ever . Made it easy to understand with 2 simple concepts . Thanks man!
This tutorial was incredible - completely glued to it
Very Good session Adrain... your way of teaching is keeping the people glued... Keep it up
Super high quality video right here. Good job Adrian
Hey I've seen your stuff too, it's great, thanks for the nice words!
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.
Absolutely LOVE this. you're so clear and concise.
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.
Finally, found a video with the appropriate detail. For me! 😊 Thank you!
Love your thumbnails. Keeps getting better with each video 👍
Thanks, I try to make them as clear to what they video represents as possible!
Wow, thanks I'm finally starting to get embeddings!
I wish everyone could have presented like you, simply Super. Looking forward for more in similar way
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.
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.
Wow! Easy, clear and to the point.
Absolutely amazing! Thank you so much for your work!
Love it.. it was far simpler than I thought..
Adrian, this is beautifully explained. Absolutely loved it :)
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)
Well done, succinct, and excellent explainations of complex topics.
Thank you! Great walk through
This is great. I had to learn this in a crunch and I grok it now.
This is the best video on openai embeddings I have ever seen, I am also a bit biased!
Nice work! Thanks so much for this awesome demo.
This was a great overview Adrian!
Great content 👍👍👍, waiting for more OpenAI, AI related content
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
Would be great to see a follow up video of practical applications using this.
The practical application are varied:
sentiment analysis
term search
Classification
Excellent. Thank you. Helped a lot.
Fantastic tutorial and explanation!!
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 CZcams video, and I've never had the problem with any other CZcams 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.
Great tutorial!!! I will be buying your book.
Excellent content, what changes for audio search?
Crisp and to the point, thank you. Can I ask how you made the slides like the one at 0:52?
Nice video, it would have been nice with a demonstration at the end or intro, keep up the good work.
Oh good suggestion, I’ll do that next time!!
This is great stuff, thanks.
Perfect explaination!
Will you create a second part of this video where PDF's are uploaded and then analyzed?
great explanation ! thanks !!
Awesome Content! Thanks
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 ?
Nice video. I love your work.
Perfect learning ❤🎉 master of learning ❤❤❤❤
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?
fantastic job!
Great work presenting this!
Do you happen to know how similar or different this is from what Elasticsearch does when performing full-text search?
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.
Great work! How do you make these nice presentations with the fancy arrows?
Well done, Langchain already exists...
Very interesting video, but what are the prerequisites to understand & actually implement this ?
Blows my mind you've spent 18m talking about the How and 30sec about the why and what.
Great video. THX
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.
Great video ! precise..
Hi Bro,
What is the extension u used in the vs code for the code suggestions?
Cool course. How does one connect it to a basic website?
yes but how do you save a vector store ? ie export it to json for upload or finetuning into the main lm ?
Great video !!! :)
thanks for this video video is really helpfull
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.
what are the prerequisites to understand the content in this video? And where can I learn them?
would it be possible to use this for an AI NPC for training purposes in XR space for example?
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.",
Me too, you found a solution?
Hey man, what are those fonts you've used in this video?
excellent. thx!
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?
This is amazing
dot_product is a function offered by this database for vector searching, ranking etc.. ?
Excellence & Awesome
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?
Loved it
thank you!
excellent❤ work
thanks for the tutorial can we use our own LLM like private GPT or Text-generation Web UI instead of OPENAI
[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!
You would need to ask someone who built the transformers at openai.
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?
Thank you @Ardian
thank you so much
isnt calculating the modulus of the subtraction of the vectors a more accurate way to find similarities?
This is very useful. Could you also do embedings of CSV files? I have files amounting up to 5 million rows
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?
Is there any way to obtain embeddings of gpts from images?
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?
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?
I’ll double check, and any updates will automatically be enabled on Gumroad!
@@AdrianTwaroghow to automate text importation with sql? Must one enter each text blob manually?
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!
how does SingleStore know the embeddings returned from OpenAI and searches it correctly in its vector db?
The best!
wow great video sir. Helped a lot. may i know what extension is being used in 16:40 ?
GitHub Copilot
Sir please can you read create the boostrap navigation bar that have off-canvas customize with nice header logo and home