The famous mantra “machine learning is 5% about models and 95% about data” is true with vector databases. Before querying your vector space, you need to get your data vectorised! You can see that clearly in all Jupyter notebooks demos with Tensor libraries: the search itself is the last line of tens and tens of lines of python code.
This is why WPSOLR is integrating Weaviate: it sets up the schema, ingest data into a vectoriser of your choice, and generates queries automatically worth hundred lines of GraphQL.
