AWS Architecture Blog

Category: Amazon Kendra

Intelligent search bot for enterprise document management systems

Simplify document search at scale with intelligent search bot on AWS

Enterprise document management systems (EDMS) manage the lifecycle and distribution of documents. They often rely on keyword-based search functionality. However, it increasingly becomes hard to discover documents as such repositories grow to tens of thousands of items. In this blog, we discuss how Amazon Web Services (AWS) built an intelligent search bot on top of […]

Field Notes: How to Boost Your Search Results Using Relevance Tuning with Amazon Kendra

One challenge enterprises face when they implement an intelligent search solution for their large data sources, is the ability to quickly provide relevant search results. When working with large data sources, not all features or attributes within your data will be equally relevant to all your users. We want to prioritize identifying and boosting specific […]

Figure 3: Overall Architecture

Scaling up a Serverless Web Crawler and Search Engine

Introduction Building a search engine can be a daunting undertaking. You must continually scrape the web and index its content so it can be retrieved quickly in response to a user’s query. The goal is to implement this in a way that avoids infrastructure complexity while remaining elastic. However, the architecture that achieves this is […]