Introduction to Vector Databases with a Hands-on Tutorial!

Vector databases are all the buzz these days. With ever increasing demand for AI/ML applications, the craze for vector databases is going to be more in the coming years.

Vector databases have gained significant importance in various fields due to their unique ability to efficiently store, index, and search high-dimensional data points, often referred to as vectors. Vector databases store data by using vector embeddings. Vector embeddings in vector databases refer to a way of representing objects, such as items, documents, or data points, as vectors in a multi-dimensional space. Each object is assigned a vector that captures various characteristics or features of that object.

In this video, we will understand more about vector databases and at the end we have a simple tutorial you can try.

Just make sure to have SingleStore free account as we will be using SingleStore as our vector database and we will be using SingleStore Notebooks.

[chaithanyavamshi]

Wow Great Explaination Pavan! Can you please update the presentation slides in all your videos in the description please?

[saurabh_kud]

thanks for this content, it really means a lot . hey i have a question i am making a application to chat with documents like pdfs, docx etc... and these documents can have text and images then in images can have graph or anything then what is the best way to extract content from that file for chunking store embedding in vector db

so that our application gave a proper result from images and text both ?

like a user came and ask about graphs then how llm will gave the resposne ?

pls reply i am waiting for your reply