AWS Database Blog
Author: Andrew Chen
Andrew Chen is an Associate Solutions Architect with an interest in data analytics, machine learning, and virtualization of infrastructure. Andrew has previous experience in management consulting in which he worked as a technical lead for various cloud migration projects. In his free time, Andrew enjoys fishing, hiking, kayaking, and keeping up with financial markets.
Use LangChain and vector search on Amazon DocumentDB to build a generative AI chatbot
Amazon DocumentDB (with MongoDB compatibility) offers benefits to customers building modern applications across multiple domains, including healthcare, gaming, and finance. As a fully managed document database, it can improve user experiences through flexibility, scalability, high performance, and advanced functionality. Enterprises that use the JSON data model supported by Amazon DocumentDB can achieve faster application development […]
Archive to cold storage with Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL database that provides fast and predictable performance with seamless scalability. Customers across multiple industries utilize DynamoDB as their database of choice. Numerous education technology (EdTech) companies utilize DynamoDB as a persistent data store to track students’ exam scores and course progress. As students advance through various grades, their […]