Important problems that can be solved with vectors:
Semantic & unstructured data search
Data deduplication & matching
Zero shot classification
K-nearest neighbors similarity-based regression
and many more
Relevance as a vector platform
In the vector workflow, we decided to focus heavily on the foundation of all good solutions - the experimentation stage. Our experimentation-first approach helps users experiment, tune and prototype various vector weightings, configurations, data structures and vector search methods to improve their vectors.