While the title says "What is a Vector Database?", the video has no content describing what a vector database actually is (e.g. how is the data stored and accessed, what embeddings are, etc.), and no details of how vector databases differ from the others (e.g. no explanation of where/when/how a vector database is more performant and/or scalable than others). Obviously, detailing these would make a much longer video, and make it a much more useful one.
A vector database is a specialized database designed to store and query high-dimensional vectors, which are often used in machine learning and data science. These vectors represent data points in a multi-dimensional space, allowing for efficient similarity searches, nearest neighbor searches, and other operations critical to applications like recommendation systems, image retrieval, and natural language processing. By organizing data in this way, vector databases can perform complex operations quickly and accurately, making them essential for handling large-scale, unstructured data. Examples include Pinecone, Milvus, and FAISS, which are tailored to manage the specific needs of high-dimensional vector data.
I was wondering about this as well. My guess: they flip the whole video horizontally . You'll note that there's nothing in the background that would indicate if left/right was reversed
*Good theoretical video* except there was no sample tool, sample query or sample response in the video at all. Just like supervised learning, humans also understand fast and deep, when there are some real world examples of vector-queries and vector-response examples from one or few real world tools.
Finally the video i needed ty the first few seconds and all my confusion i had was gone and everything makes sense i thought vectors where used earlier aswell even though working for ages in this space i did not expect the field beeing so one dimensional for so long. ty for saving me from useless tutorial video reposts omg. i want to gift you a coffee
While the title says "What is a Vector Database?", the video has no content describing what a vector database actually is (e.g. how is the data stored and accessed, what embeddings are, etc.), and no details of how vector databases differ from the others (e.g. no explanation of where/when/how a vector database is more performant and/or scalable than others). Obviously, detailing these would make a much longer video, and make it a much more useful one.
Good points. This could be a catalyst for IBM Tech to create a small series about vector databases and answer these points you have raised above.
Precisely. And because of that I just wasted 4 minutes unnecessarily (fast forwarding helped :).
Clickbait title, not worthy of IBM's brand.
Yep that felt like more like a clickbait video.
Yeah he said its an array and then moved onto embeddings!1
Thanks for the heads up and saving me 10 minutes..
After watching 8 mins and 11 secs, there's still 1 question remans, "What is a Vector Database"?
NLP, videos and image recognition, and search silly
A vector database is a specialized database designed to store and query high-dimensional vectors, which are often used in machine learning and data science. These vectors represent data points in a multi-dimensional space, allowing for efficient similarity searches, nearest neighbor searches, and other operations critical to applications like recommendation systems, image retrieval, and natural language processing.
By organizing data in this way, vector databases can perform complex operations quickly and accurately, making them essential for handling large-scale, unstructured data. Examples include Pinecone, Milvus, and FAISS, which are tailored to manage the specific needs of high-dimensional vector data.
Very good question. No answer given.
The real MVPs are the commenters that watched the video and told us that a Vector Database isn't actually explained here. Saved me 8 minutes.
I feel like I got clickbaited, no detail about vector databases.
but how is he writting backwards from right to left,, i felt like tenet LOl . from his perspective its always right to left in the video
They probably invert it back
Good overview of Large Language Model (LLM) concepts. Take away: vector is a powerful way to store information for high function computer processing.
Always like your videos gyus 👍, but topic is still unclear for me, have to watch other videos
Great video. Super easy to follow. Love it.
so... a vector is an array and an embedding is a multidimension?
Embedding is the process of making a vector from your data. But often vector and embedding is used synonymously.
Very nice explanation. High quality. Thank you.
Is he writing in opposite symmetry?
I was wondering about this as well. My guess: they flip the whole video horizontally . You'll note that there's nothing in the background that would indicate if left/right was reversed
It's called a light board (learning glass). The video is recorded through a glass and mirrored.
thanks for the clarification from both of you! now I finally can focus on the content of the video again... 😂
*Good theoretical video* except there was no sample tool, sample query or sample response in the video at all.
Just like supervised learning, humans also understand fast and deep, when there are some real world examples of vector-queries and vector-response examples from one or few real world tools.
Finally the video i needed ty the first few seconds and all my confusion i had was gone and everything makes sense i thought vectors where used earlier aswell even though working for ages in this space i did not expect the field beeing so one dimensional for so long. ty for saving me from useless tutorial video reposts omg. i want to gift you a coffee
Didn’t explain what the title says, waste of time.
thank you for the free knowledge
How to make such a video where they write and it comes correctly?? Clearly they are not behind a glass
So wonderful to have you back on the channel Jamil!
Thank you for this tutorial, very helpful ❤🎉
I have an array stored in sql schema. How is this implemented? what's the difference?
Pretty cool. Thanks!
Loved the video. And now I'm hoping for longer and more detailed one! :)
The first video was great, but this one is really basic and not on point at all.
Love the T-shirt
What is a vector database?
Its basically a database but its vector, Your welcome.
Dude talking like AI
Suspectfully speaking like a robot
my man spelled scalability wrong.
Lost in Space
This is a highschooler presentation
you taught nothing