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[8.15] Add recall and NDCG operations in msmarco-v2-vector #710

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[8.15] Add recall and NDCG operations in msmarco-v2-vector #710

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Backport of #610

@jimczi
Add recall and NDCG operations in msmarco-v2-vector (elastic#610)
052d710 
This change adds an operation called knn-recall that computes the following metrics:
  * Recall
  * NDCG
  * Avg number of nodes visited during search

Given the size of the corpus, the true top N values used for recall operations have been approximated offline for each query as follows:
```
{
    "knn": {
        "field": "emb",
        "query_vector": query['emb'],
        "k": 10000,
        "num_candidates": 10000
    },
    "rescore": {
        "window_size": 10000,
        "query": {
            "query_weight": 0,
                "rescore_query": {
                    "script_score": {
                        "query": {
                            "match_all": {}
                        },
                    "script": {
                        "source": "double value = dotProduct(params.query_vector, 'emb'); return sigmoid(1, Math.E, -value);",
                        "params": {
                            "query_vector": vec
                        }
                    }
                }
            }
        }
    }
}
```
This means that the computed recall is measured against the system's best possible approximate neighbor run rather than the actual top N.

For the relevance metrics, the `qrels.tsv` file contains annotations for all the queries listed in `queries.json`. This file is generated from the original training data available at [ir_datasets/msmarco_passage_v2](https://ir-datasets.com/msmarco-passage-v2.html#msmarco-passage-v2/train).

(cherry picked from commit b6f3535)
@gareth-ellis gareth-ellis requested a review from a team December 6, 2024 16:36
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@gareth-ellis @jimczi