Hi everyone! I've been trying to implement semantic search. I was able to embed all documents (dim: 1024), but when it comes to embedding the query and providing the queryEmbedding to searchParameters (like below), it's over the payload limit. I was prompt to use Multi Search instead, but it won't solve my problem as I can't break down the embedding array. Has anyone came across this problem and solved it? Appreciate some insight. Thanks a lot.

searchParameters = {
          q: this.query,
          query_by: "embedding, productName",
          vector_query: `embedding:(${queryEmbedding}, k:100, alpha:0.70)`}