Ingesting data into Elasticsearch can be enhanced by enriching documents with additional information at the time of ingestion, a process that involves merging data from authoritative sources into documents. This enrichment allows for efficient query-time operations such as geographical searches using tools like the GeoIP Processor. Historically managed by Logstash, enrichment can now be directly executed in Elasticsearch since version 7.5.0, using the enrich processor on ingest nodes, eliminating the need for additional systems. The enrichment process can be automated using CSV files containing Master Data, which can be imported via Kibana's Data Visualizer. The process involves creating an enrich policy, executing it to form an enrich index, and setting up an ingest pipeline to merge Master Data into incoming documents. This enriched data, which can include information like device location and type, enhances the utility of documents for searching and visualization purposes, and can be seamlessly integrated into production environments by configuring index settings to apply the ingest pipeline automatically.