This guide empowers you to optimize OpenSearch for lightning-fast and accurate phone number searches. Frustration-free experiences are key for your customers, and by leveraging edge ngrams and custom analyzers, you can empower OpenSearch to efficiently handle even large datasets.
Welcome back to our series on implementing SAML Federation for Amazon OpenSearch Service. In our previous post, we explored setting up SAML Federation using OneLogin. Today, we’ll focus on another popular identity provider - Keycloak. Keycloak is an open-source Identity and Access Management solution, ideal for modern applications and services. We’ll guide you through integrating Keycloak with Amazon OpenSearch Service to implement SAML Federation.
Amazon OpenSearch Service, utilizing the robust OpenSearch framework, excels in search and analytics due to its remarkable speed and efficiency. Despite its strengths, the service’s default configurations might not be fully tailored to address the distinct linguistic challenges encountered in specific languages. Take German, for example, known for its compound words like “Lebensversicherungsgesellschaft” (life insurance company). Standard tokenization in search technologies treats these compounds as single units, leading to less optimal search results. For improved accuracy, it’s important to index the components of these compounds separately – “Leben” (life), “Versicherung” (insurance), and “Gesellschaft” (company). This approach ensures more precise and effective search outcomes, particularly in languages like German with many compound words.
