Vector Database 101: A Crash Course

Vector databases experienced a flood of interest in 2023. They play a critical role in the most popular LLM application: chatbots. Did you know that is only a small portion of what vector databases can be used for though? They can also be used for: product recommendations, chemical analysis, reverse image search, and more.
Why? Because the primary use case of vector databases is to allow you to work with unstructured data.
In this webinar we’ll cover:
- Why unstructured data is hard to work with
- An overview of common use cases that benefit from vector databases
- How to get your unstructured data into a vector databases
- What to consider when evaluating and building your own vector database
- How to avoid common mistakes when getting started with a vector database

[@vaibhavgeek]

I am unable to find the code on github, please help

[@SteveMayzak]

Your team sure is taking liberties with some of these statements in the videos. Eg this is not the only database that can work with unstructured data. If you do any research you’ll find many options. It comes off as either naive or disingenuous. Not sure which.

[@yujiantang]

please let us know what these other options are!

[@golmatol6537]

@@yujiantang I guess he meant all those NoSQL DB's which can be used to STORE unstructured data. But they probably can't be said to WORK with unstructured data in the same way as vector DBs.