Elastic Stack 8.7 introduces several enhancements, including the ability to apply complex filters in Kibana, noise reduction for alerting, and new anomaly detection methods. The update simplifies semantic search implementation with a one-step API, improving data analysis and search experiences. Onboarding guides for various use cases, such as building search-powered applications, SIEM, and Kubernetes monitoring, are also provided. The release supports matured semantic search and NLP capabilities, offering streamlined text embedding and the deployment of trained NLP models. Users can now create complex filter relationships with multiple AND/OR clauses, and the Unified Histogram in Discover allows for further data exploration. Alert flapping detection and alert action summarization reduce notification noise, improving response times. Anomaly detection is enhanced with change point detection and geo data capabilities, while a new geo wizard simplifies anomaly detection job setup. The release also includes improvements in machine learning job management and configuration, offering better visibility and ease of use.