Elastic Search | How to Give more weights to Semantic Search compared to default Term based Search while using Hybrid Search

Question

I am using hybrid search in Elastic search. Below is an example from ES docs. So what I found in hybrid results term-based results come at the top, and I wanted to know how the scoring works in each type. For example

• do team-based results get scores from 0- 20?
• do semantic search results get scores from 0- 10?
• what is the maximum ranking score of each method? So that I can scale and give more weight to semantic search in a way that semantic search results come in top.
• Or I should not do this at all. What is the best practice?

POST image-index/_search
{
  "query": {
    "match": {
      "title": {
        "query": "mountain lake",
      }
    }
  },
  "knn": {
    "field": "image-vector",
    "query_vector": [54, 10, -2],
    "k": 5,
    "num_candidates": 50,
  },
  "size": 10
}