Adding a Vector Field: In your Xano database, add a new field with the vector data type to store embeddings.
Generating Embeddings: Use AI models to generate embeddings for your data. These embeddings can be created within Xano's function stack and stored in the vector field.
Indexing and Querying: Index the vector field to optimize search performance. You can then perform similarity searches to find data points with similar embeddings, enabling features like recommendation systems or semantic search.