Typesense (from the latest version) has automatic schema detection: https://typesense.org/docs/0.20.0/api/collections.html#with-...
It is quite powerful and you can even choose to "stringify" or co-erce types automatically to deal with dirty data.
It is quite powerful and you can even choose to "stringify" or co-erce types automatically to deal with dirty data.
How it would work if there were incompatible fields in the schemas across different datasets? (unless it was basically a stringify operation across the whole thing. )
If record1 has {field1: 32, field2: true, field3: '22'} and record2 has {field1: "32", field2: 'true', field3: 22}
When record1 is indexed, the data type for field1 is set to int, field2 is set to bool and field3 is set to string.
Then when record2 shows up, field1 is coerced to an int, field2 is coerced to a bool and field3 is coerced to a string.
If a coercion is not possible, you can configure it to be ignored or error out.
re: facets, you can use a regex field name and set for example all fields that end with `.*_facet` to be a facet.