I've been trying to experiment with QA systems based on OpenAI APIs recently, and there are a bunch of new topics which I am quite uninformed about.
One such topic is Vector databases. I know of FAISS, Pinecone, Vector extension for PG, etc. However, the landscape seems quite bewildering to me presently, and most of the documentation is not helping me grasp the essence of this technology.
What'd be some good resources to learn Vector Databases from multiple perspectives? I'm looking for how-tos, tutorials, intuitive explanations and references - anything that helps me understand these things better.