Yes, Vespa has a generic Tensor framework that allows you to index multiple vectors for a single field, see https://blog.vespa.ai/semantic-search-with-multi-vec

Yes, Vespa has a generic Tensor framework that allows you to index multiple vectors for a single field, see https://blog.vespa.ai/semantic-search-with-multi-vector-indexing/ https://blog.vespa.ai/semantic-search-with-multi-vector-inde... for details. field embeddings type tensor<float>(p{}, x[384]) to represent a multi-vector field { "0": [0.1....], "1": [0.2,..] }