The world of machine learning is powered by vectors. Not just any vectors, but dense vectors capable of representing human meaning in numeric form. These meaningful vectors are quickly replacing more traditional forms of data as the digital world becomes more ML-powered and more people-centric.
We expect intuitive natural language search, intelligent recommendations, and much more by default. To achieve this, we need dense vectors, but we also need a database for these vectors.
This is a companion discussion topic for the original entry at https://www.pinecone.io/learn/aug-2022-release/