Almost every pgvector tutorial starts the same way. Take some text, run it through an embedding model, store the resulting vector, and search it with natural language. That is a real and useful pattern, and it is also why most engineers walk away thinking pgvector is a tool for one job: semanti...
Source: [Dev.to](https://dev.to/agave_info_solutions/pgvector-without-embeddings-when-a-feature-vector-beats-semantic-search-12ob)