In the world of search, delivering accurate and relevant answers quickly is key to enhancing user experience. Coveo’s Smart Snippets already provide users with the most relevant information directly on the results page, saving time and effort. But what if we could push this functionality further? In this post, I’ll walk you through a custom […]
Ashwini Bhave
Ashwini works at Perficient as a Technical Consultant with expertise in a variety of technologies and frameworks, including Coveo Enterprise Search, Headless, Atomic, JavaScript, Angular, Java, RESTful APIs, and IPX. She is also skilled in implementing machine learning models to drive innovative solutions. She holds a Coveo Developer Certification and leverages AI-powered relevance to deliver smart and intuitive search experiences. Passionate about exploring cutting-edge technologies, she continuously enhances her knowledge and applies it to real-world challenges. She is also motivated to share her insights through her tech blogs, inspiring and empowering the developer community
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Blogs from this Author
Enhancing Coveo Search Experience: Enabling Partial Match and Query Syntax Toggles
The Coveo platform provides a powerful, customizable search experience. However, making advanced features like Partial Match and Query Syntax user-friendly can significantly improve users’ interactions with your search interface. This blog focuses on how to implement these toggles and integrate them seamlessly with the Coveo Query Pipeline. Why Partial Match and Query Syntax? Partial Match: […]
Integrating Real-World Data into Coveo Search Using the Generic REST API Source Connector
This blog will guide you through indexing content from API endpoints into Coveo using the Generic REST API source. This tool allows the indexing of data from any web service exposing a REST API, such as Content Management Systems (CMS), databases, or third-party platforms. While the demo API here is for illustration, the steps can […]
A Comprehensive Insight into Coveo Content Recommendation ML Model for Reforming Content Strategy
Introduction Coveo’s Content Recommendation Model is a machine learning feature that provides personalized content recommendations to users based on their behavior and preferences. It enhances user engagement and satisfaction by suggesting relevant information, products, or content. The model continuously learns and adapts, ensuring that recommendations remain accurate over time. Coveo’s solution integrates seamlessly, offers configuration […]
Part 2: Building the Source and Corresponding Mappings in Coveo Enterprise Search
Introduction Coveo Enterprise Search is a strong search solution that helps organizations enhance information management and offers users a hassle-free search experience. In order to accomplish this, Coveo establishes connections with numerous data and content sources, indexing the data to make it simple to find using its search interface. Two essential elements of this procedure […]
Part 1: Building the Source and Corresponding Mappings in Coveo Enterprise Search
Introduction Coveo Enterprise Search is a strong search solution that helps organizations enhance information management and offers users a hassle-free search experience. In order to accomplish this, Coveo establishes connections with numerous data and content sources, indexing the data to make it simple to find using its search interface. Two essential elements of this procedure […]