Function Score Query
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What is Function Score Query?
The Function Score Query allows you to modify the score of documents retrieved by a query. It provides a way to apply a function to each document that matches the base query, influencing its final relevance score. This function can be based on factors like document fields, pre-defined weights, or even custom scripts, enabling fine-grained control over search results ranking.
Free resources to learn Function Score Query
More in stage 7: Search Analyzer
- Search Analyzer
- Doc values
- fielddata
- The Inverted Index
- The Analyze API
- Standard Analyzer
- Custom Analyzers
- Value Count
- Avg / Sum / Min / Max
- Cardinality
- Stats / Extended Stats
- Terms
- Range / Date Range
- Histogram
- Filter Aggregations
- Pivot
- Latest
- Transform API
- Nested Aggregations
- Pipeline Aggregations
- Understanding Similarity
- BM25 algorithm
- CAT API
- Segment Merging
- Cluster Monitoring
- Cross-cluster Replication
- Autoscaling
- Boosting Queries
- Match Phrase Query
- Synonyms Graph
- ILM
- Rollover Policies
- Data Tiers
- Vector Search
- Semantic Search
- Hybrid Search
- Snapshots & restore
- SLM
- Authentication
- Roles & Users
- API Keys
Function Score Query: common questions
Can I learn Function Score Query in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Function Score Query in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Function Score Query tutorial for beginners?
It is lesson 100 of 113 in the free Elasticsearch roadmap, in stage 7, Search Analyzer. If you are new to Elasticsearch, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.