Elasticsearch - Search Results and Scoring
Which Elasticsearch query parameter correctly switches the similarity scoring to TF-IDF instead of BM25?
Which Elasticsearch query parameter correctly switches the similarity scoring to TF-IDF instead of BM25?
easy📝 Syntax Q12 of 15
Step-by-Step Solution
Solution:
Step 1: Recall Elasticsearch similarity options
Elasticsearch uses "bm25" by default. To switch to TF-IDF, you use the "classic" similarity setting.Step 2: Match parameter to TF-IDF
The "classic" similarity corresponds to TF-IDF scoring, so setting "similarity": "classic" enables TF-IDF.Final Answer:
{ "similarity": "classic" } -> Option AQuick Check:
TF-IDF similarity is "classic" [OK]
Quick Trick: Use similarity: classic to enable TF-IDF scoring [OK]
Common Mistakes:
MISTAKES- Using "tfidf" as similarity name (not valid)
- Assuming "default" switches to TF-IDF
- Confusing bm25 with TF-IDF
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