Why List<Double> instead of float[] for embeddings ?

[michaelsembwever]

Curious to why List<Double> was used, considering the performance benefits a primitive array gives, particularly with SIMD operations newer Java versions can do.

A number of the vector stores have already a toFloatArray(List<Double>) to workaround this.

Bonus question :)
What about using the JVector library and its VectorFloat class …?
It's heavily optimised against the Panama Vector API(SIMD), and detects and takes advantage of JDK20+ when available.

While spring-ai might not be doing much with the embeddings, it's quite likely consumers of the framework will be, e.g. re-ranking large similarity result sets.

[ThomasVitale]

This was addressed in version M2, where the type of embeddings has been changed from List<Double> to float[]. See: #1002