I built an image search engine 

Weaviate Co-Founder here. Thank you for featuring Weaviate and creating this awesome video. It covers a lot in just 6min and I think it's a really cool intro to the topic and really shows the power of Weaviate. Also really like that you hinted at more traditional db features such as filtering/sorting/etc. It's those that make Weaviate super powerful for real-life applications. Appreciate the blutness about not being a fan of the builder pattern in the JS/TS client. Would love to hear some more feedback from you and tap into the collective JS/TS experience of your followers to help us design a better , more TS-native API on the Weaviate client. The clients are versioned separately from the server, and we're totally cool with releasing a new major version of the client if it can help improve the DX for anyone that uses JS/TS in their daily work.

Doesn't matter what the topic, JS somehow always gets involved lol

we're definitely not tired of the AI videos. Great as always

Would love a video comparing the different vector databases. Why did you choose this one over Pinecone?

Your content constantly impresses. As a programmer and an educator myself I'm amazed how you do so much and do it well.

This is by far, one of the best videos you ever made. Keep us updated !! You channel could become the new tech news reporter in video format. Thanks for the good work

just imagine Jeff life without Javascript

This can be also done, using CLIP model. And indexing vectors with KNN type in opensearch and using cosine similarity to find similar images. With the CLIP model you can search images by text and image both as input.

I love the vector data base, how the data is stored in form of coordination with direction

Yeah, vector databases have been around for quite a while, but the availability of open source vectorizer models made vector search more of a viable use case, so we're seeing more and more proper databases with easy to handle clients and all. Unfortunately, the biggest issue with vector search is not the database side of things. They're mostly all the same, relying on the same compression and distance computation algorithms. The big issue is vectorization. For some use cases like text or image similarity you can use huggingface models as-is. But for more business specific things, you'd have to train your own model and that is tough AF.

just fell over backwards watching every thing you said going over my head

More of those please.

Made it look so simple, I'm definitely trying this out this evening, thanks Jeff!

Always remember Jeff, you are awesome and really helping Devs by introducing concepts. Stay classy cheers.🎉

Love this kind of video. It gave me a lot of ideas

Got a kinda good idea for them, hopefully will get some time to play with them on work sometime soon. Good video as always!

This is super cool! Like how easy it is to do those tasks nowadays

Amazing work.

Vectors are so 2022 Q4. Ive come up with trillion dollar concept. Text File Data. You will store all of your data in a single file where where each col will be separated by something like a tab code or comma and a row will be separated by a new line. Beta names are Tabbed Text Files or Comma Text Files. Reply if you’re ready to invest.

It's actually a good topic, storing and processing data is still most important thing

There's absolutely nothing for you to apologise for. This is another great video. Please, keep 'em coming as always.

This is amazing. Thanks.

Not tired of AI content at all. This is amazing. Thank you!

I appreciate the slightly slower pace of this video.

awesome tutorial !!!!!!

Man i friggin love fireship

Really appreciated mention of not sponsored*

That was a cool video. I am new to this game and while watching this I get a feeling iofwow that is really cool thing you have shown and I have no idea what he is doing but would luv to see more.

Yay, finally some docker on fireship 🎉

After seeing the video on vector databases on the main channel, I just knew this was what was next.

Soon the own image boorus are going to be fantastic

Loved this video, the the test image got me ROFL

😊nice video, I got an idea for my next project.

Stop blowing my mind dude!! Too much power in our hands

Great video! Could you make a video about how we can crawl data on a knowledge base, transfer to vector databas and search with it?

Nice one!

Thank God! Next videos will be on JS

It's time for a ai driven Javascript framework that runs on the edge😂 And be sure not to mix stuff up, a js driven ai Framework, would essentially be the apocalypse

loved it!

I like that the gif in the end was in Yellow stone. No reason.

Seems Valid.

Very helpful and straightforward ｡⁠◕⁠‿⁠◕⁠｡

Please do a version of this for text similarity search

Please keep making these videos. They are non-stop, but so is the pace of AI right now, so they're the only thing helping me feel like I'm staying current.

thank you

Damn, I had started to really rely on Fireship for my AI news!

Top tier content found here.

Could you do a similar tutorial for a full beginner in programing (a bit slower, a bit more steps to explain each concepts), to create this image search database, to retrieve only copyright free image / cc0? Nice tuto thought 👌

You should've used Rektor for your database. I already invested in it. It's the next big thing.

I find that personally very interesting. Next step I'm looking for would be to automatically tag images. About AI, I'm happy that Fireship recon that he's talking a hecka lot about AI. But he's right. It's the new trend and it's not going to leave anytime soon. I'd just hope we can talk about it in a more neutral way than an AIpocalypse or an AIrmageddon.

MORE AI videos, mate! Your videos are always the most informative AND entertaining on the subject

Can you do an episode about Medusa, the open source e-commerce js framework?

mind BLOWN

I thought "in the next 5 minutes" is a joke relating to the complexity of a search engine. Yet here I am 5 minutes layer knowing all the steps. Wild times.

i was building a meme search engine for fun and this killed it, i might apply this implementation

Nextjs thinking video

Did you just b64'd different formats of images without converting them to a certain file format and then send them to the vector db? Congratz you just uploaded Spanish, English and French sentences to your db and queried if the English sentence will be the nearest match with the English sentence...

Man how did you learn all that? I mean how did you start your journey. Please make a video about your journey it would be very inspirational for many.

if the ai videos help us make our jobs easier, then keep'em coming

i um... kind of a beginner but never had trouble understanding your vids... this one was way beyond my lvl lol

woah i never knew weaviate has its usefulness , i contributed in it for my gsoc but later switched to another org

This is so cool, oh my god

hey fireship what font do you use for your videos? it looks pretty clean

Thanks man! My company just changed my job role from a 'RoR developer' to an 'AI Engineer' and you have everything I need

Nice video I was wondering when js started supporting top level await 😢

Considering storage resources, will that scale if you convert the image to a base64 string?

Yes, I did pause to view and read each meme

Don't stop the AI vids. Your last video introduced me to vector databases which I used to easily solve a big, hairy, ugly business problem for my employer. Now they can make a lot more money and I get a pat on the back.

Please make a tutorial for vector DB and do the same with mongoDB at the same time

what if you took a text input and ran it through something like dalle to make it use a text input (which gets turned into an image under the hood)

Oof... I can follow this, but ill have no odea what I'm actually doing. Still, this was a very good way to get your point across.

My man, you just did Web 3.0 dirty. Blockchain is epic and I hope to see some videos about it too! 💪

I'm trying to pick a vector database at the moment. Does anyone have any reason why you would pick, say, Pinecone over Weviate, or vice-versa?

Could this be used to build a "hotdog or not hotdog" matcher?

Not even a little bit tired of the AI videos - if anything I'd love to see more tutorials

man i wanna do it

Good video but I really wish you would talk slower and add a longer gap ( maybe just a 0.5 to 1 second) between edit cuts. Please bear in mind that for many English is a 2nd language. It is so frustrating having to constantly remind the video that I don't complete most of yours despite the great content. It's great that you pack so much info but it needs to be at a pace that can be more easily followed

How can I reach you to discuss an app ive been building at pre dev stage with some of this in mind? I'm utilizing Gans with scikit learn and image on cloud to train the part of my app that will use ai for some valuable specific purposes, but this exact content here is what i needed for my leg heavy work to compile and filter all the exact images I need around defined search. I'd love to get your help, even if general on this for putting my pieces together. Your expertise on all the tools, systems, and use cases are such a great resource Ive had the pleasure of finding. Thanks

Oooooh can I also use this to find similar images on my own computer despite resolution differences?

Hello, i have veen interested in the thing that you don't love the builder pattern in many of your videos, can you explain why it is bad in your opinion, please?

JS churn -> AI churn -> panic attacks -> depression -> nirvana

Yo this is cool

I wonder what kind of image similiarity algorithms can we use? And I assume this is completely free to use locally? I don't see any restrictions anywhere right now or I have missed it.

how do i build a chatbot based on recursively scraped documentation websites with embeddings and vector databases?

With the super AI we have these days it would be quite an easy step to implement just removing watermarks!

Gotta love how he reads comments e

Can you train this on all my footage that I shot that I need indexed?

How do I make those visualisations that show the embedding stored on weaviate

Realizing you could use this to reverse Stable Diffusion. You feed it a prompt, it generates an image, and then your reverse image search returns the images it --stole-- "learned from" the most to create its output.

how can i make the search more accurate? Its not even using alot of processing power, is there a way to just set everything to high so it can use all my processing power to make sure the result is accurate?

you have sample repo for this? :) thanks

Why didn't you use elastic search?

We have to update the class name again and again in index.js otherwise it is giving me error that you have already used this class name can any one help me to get rid of this problem!

I'm always just getting the same input image back as the result. What could be wrong?

this is insanely good for AI Art

Can u make a video on pnpm

Then use CLIP to generate descriptions of the images you have and you've just generated your own map of your images without manual labour

I'm not tired of the AI videos. Maybe a new channel: Fireship AI

this guy knows what he is talking about. Its like GPT but for images instead of tokenized letters, or words, or phrases, but is not generative. and does not have transforms xD but.. you get the point.

Where to host it?