How to view Vespa Embedding?

Question

I tried the following block of code to implement nearest neighbor search algorithm in Vespa. https://docs.vespa.ai/en/nearest-neighbor-search-guide.html I was able to run it successfully but was unable to identify where this Vector DB/Embedding is getting saved.

I want to query the embedding column, which I was unable to see, however I am able to see the Title, track and other columns.

![Here I was able to view title and artist (https://i.stack.imgur.com/pCBOx.png)

Answer 1

Just add "summary" to the indexing statement in your schema:

field embedding type tensor<float>(x[384]) {
        indexing: input title | embed e5 | attribute | index | summary

You can configure different sets of fields to be returned for different queries by configuring multiple document summaries.