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I have seen most of the people are implementing just the 2 tower architecture for the retrieval model. I wanted to try other architecture. So, if you have implemented or have an idea about ways to do that, please help me.

Also, Like for this implementation, how can we use TensorFlow recommenders?

hey @amit-timalsina, the picture above describes the serving case for a two tower retrieval model.

hey @amit-timalsina, the picture above describes the serving case for a two-tower retrieval model.

How, can you please elaborate?

@amit-timalsina I guess, that model is implemented in softmax model section of this colab

The softmax model you picture here is a degenerate case of a two-tower model. The softmax is exactly equivalent to having a candidate tower with a single embedding layer, with one embedding vector per candidate.