Elasticsearch 8.7 introduces significant enhancements, including a 70% reduction in metric data storage for time series databases and a simplified vector search process for semantic text searches. This release also improves performance and monitoring capabilities for ingest pipelines and geo-spatial data, offering a more efficient storage solution with features like downsampling and time series data streams (TSDS). The update includes general availability of natural language processing (NLP) capabilities, allowing for tasks such as text classification and question answering, supported by state-of-the-art transformer models. Additionally, Elasticsearch introduces new features like HNSW-based KNN vector search over multiple fields and geohex_grid aggregation for geo_shapes. Ingest pipeline processing has been made 45% faster, and new monitoring dashboards offer enhanced visibility into pipeline performance. The Health API, now generally available, provides comprehensive insights into cluster health, surpassing the previous cluster health API by covering various health facets, such as master election stability and disk space availability, making it a valuable tool for monitoring and troubleshooting Elasticsearch deployments.