Elastic Cloud enables users to search, solve, and succeed with one platform, three search-powered solutions, built on a single technology stack. It is designed for any type of data — deployable anywhere — to solve your search, observability, and security challenges. Elastic® users benefit from a unified data analytics platform, which dramatically reduces the cost and complexity of data collection, storage, and analysis.
The integration of Elastic with advanced AI models elevates its capabilities to new heights. By harnessing Elasticsearch®’s retrieval capabilities, LLMs gain access to the most pertinent documents, enabling them to furnish accurate responses. This collaboration between Elasticsearch and Amazon Bedrock ensures users receive answers that are contextually relevant and factually accurate, setting a benchmark for information retrieval and AI-driven assistance.
Elastic stands as a top notch search engine with a plethora of features designed to guarantee exceptional search performance. It supports conventional keyword and text-based searches using the Elasticsearch Relevance Engine™ (ESRE) and Elastic Learned Sparse EncodeR (ELSER) algorithm, alongside AI-ready vector search capabilities with exact match and approximate kNN (k-Nearest Neighbor) search functionalities. These advanced features empower Elasticsearch to retrieve highly pertinent results for queries expressed in natural language. By combining traditional, vector, or hybrid search approaches, Elasticsearch delivers pinpoint accuracy, simplifying the process for users to locate the information they seek.
The Elasticsearch platform seamlessly integrates robust machine learning and artificial intelligence capabilities directly into Elastic solutions like the Elastic AI Assistant for Security, providing the tools to create highly sought-after applications and execute tasks with remarkable efficiency. By leveraging these advanced technologies, users unlock the full potential of Elasticsearch, delivering unparalleled user experiences and streamlining workflows.