ElasticSearch Research & Evidence-Based Practice 4

Question 1

A research team needs to enrich ingested papers by extracting named entities (author names, institutions) before indexing. Which Elasticsearch component handles data transformation at ingest time?

Accepted Answer

Ingest pipeline with processors

Answer

Ingest pipelines with processors (e.g., grok, set, script) transform documents before they are indexed, enabling field extraction and enrichment at write time.

Question 2

An evidence synthesis platform needs to group search results by author and show only the most recent paper per author. Which Elasticsearch feature supports this?

Accepted Answer

collapse field with inner_hits

Answer

Field collapsing deduplicates search results by a specified field and uses inner_hits to expose additional documents within each collapsed group.

Question 3

A researcher discovers that some indexed papers have incorrect 'study_type' values due to a classification error. They need to update this field across thousands of documents matching a filter. Which API is most appropriate?

Accepted Answer

Update by Query API

Answer

Update by Query applies a script or partial update to all documents matching a query, making it the right tool for bulk field corrections without reindexing.

Question 4

A systematic review tool needs to rank papers by a combination of citation count (numeric) and BM25 text relevance. Which Elasticsearch feature supports combining a numeric signal with text score?

Accepted Answer

function_score query

Answer

function_score query wraps another query and applies custom scoring functions (e.g., field_value_factor) to blend numeric signals with the base relevance score.

Question 5

Researchers need a persistent, named search that can be executed repeatedly against evolving data without resubmitting the full query. Which Elasticsearch feature supports this use case?

Accepted Answer

Stored search template

Answer

Stored search templates allow parameterized queries to be saved in Elasticsearch and reused via the _search/template endpoint with different parameters each time.

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ElasticSearch Research & Evidence-Based Practice 4