Category: Web Development

Build a Real-Time Voice Interview Coach with TypeScript and LiveKit

May 6, 2026 Nic Raboy

Do you struggle with interviews? You're not alone! You can have the best interview notes in the world, but when you start having that vocal conversation, you might end up a deer in the headlights, freezing and forgetting everything you thought you prepared for.

There's good news though!

With modern AI tools like LiveKit, you can have a voice conversation with an AI agent, mocking a real interview experience. Imagine uploading a job description and your resume and being immediately paired with an expert (the agent) to ask you real questions for the job and providing feedback on how you answer and present yourself.

In this tutorial we'll explore using LiveKit and TypeScript, paired with various LLM models and Apache Tika, to establish a very realistic interview coaching experience.

Using Dot Notation to Query Nested Fields in MongoDB

April 28, 2026 Nic Raboy

If you're just starting to dabble with MongoDB, you've probably come to a point where your documents are looking a little complex. These documents might have gone from flat, relational-looking pieces of data to something with nested objects, nested arrays, and maybe even four or five more levels of nesting. So how do you query this data when it is a few layers deep?

In this short tutorial, we're going to look at dot notation within MongoDB and see how we can very quickly and easily filter our documents based on data that contains certain values in the nested fields.

Build a Movie Watchlist with Node.js, TypeScript, and MongoDB

April 13, 2026 Nic Raboy

Almost every modern web application will need a REST API for a client to talk to, and in almost every scenario, that client is going to expect JSON. The best developer experience is a stack where you can stay in JSON-shaped data end to end, without awkward transformations in the middle.

Take MongoDB, Express Framework, and Node.js as an example.

Express receives HTTP requests and sends responses. MongoDB sits in the middle and stores documents. The client can send JSON to your routes, your routes can send documents to MongoDB, and MongoDB can hand BSON back that maps naturally to what you serialize in the response. That works well because MongoDB is a document database. When you also want text search over fields like title and plot, MongoDB Search gives you a $search stage in an aggregation pipeline on the same cluster, so you are not bolting on a separate search system just to power a search box.

In this tutorial, we'll see how to build a small movie watchlist API using TypeScript and MongoDB. We'll explore a few different schema design opportunities and make use of MongoDB Search for full-text search.

Migrating Your Content Management System (CMS) Assets With MongoDB and Node.js

May 9, 2025 Nic Raboy

Content platforms evolve as business strategies shift. At MongoDB, we embraced external publishing platforms like Dev.to, Medium, The Polyglot Developer, etc. to better engage developer communities, requiring us to redistribute content while maintaining our existing CMS data in MongoDB.

To support our multi-platform publishing strategy, we created a system to publish content between our MongoDB CMS and external platforms. As a result, we needed to migrate the content we had in our CMS to its new home. The migration process included exporting the written content stored in MongoDB and downloading a copy of the media assets that were stored on third-party servers.

In this tutorial, we'll explore the export process to get the job done with as little friction as possible.

Django MongoDB Backend Quickstart

May 6, 2025 Anaiya Raisinghani

Interested in diving into our Django MongoDB Backend integration? Follow along with this quickstart to create a Django application, connect that application to a MongoDB deployment, ensure your deployment is hosted on MongoDB Atlas, and interact with the data stored in your database using simple CRUD operations.

How to Make a RAG Application With LangChain4j

May 3, 2025 Tim Kelly

Retrieval-augmented generation, or RAG, introduces some serious capabilities to your large language models (LLMs). These applications can answer questions about your specific corpus of knowledge, while leveraging all the nuance and sophistication of a traditional LLM.

This tutorial will take you through the ins and outs of creating a Q&A chatbot using RAG. The application will:

1. Retrieve data from a MongoDB Atlas database.
2. Embed and store documents as vector embeddings.
3. Use LangChain4j to query the database and augment LLM prompts with the retrieved data.
4. Enable secure, scalable, and efficient AI-powered applications.

If you want to see the completed application, it is available in the GitHub repository.

Migrating From PostgreSQL to MongoDB in a .NET EF Core Application

May 1, 2025 Luce Carter

For many reasons—including scalability, flexibility, and modernization—more and more development teams are looking to migrate away from PostgreSQL to MongoDB. In the past, these teams might have been hesitant if they used Entity Framework Core (EF Core) as their object relational mapper (ORM).

With EF Core being one of the most popular ORMs for .NET development, we received a lot of requests from the community for a provider, and so did Microsoft! So it made sense for MongoDB to develop a provider for EF Core. This went generally available (GA) in May 2024 and has been greatly received by the community.

Plus, developers can now use MongoDB's Relational Migrator, a free tool that uses smart algorithms and GenAI to streamline migrating from legacy relational databases to MongoDB, accelerating application modernization initiatives. So now is a great time to take a look at how you too can reap the benefits of all this by migrating your .NET application that uses PostgreSQL with EF Core, to use the MongoDB EF Core Provider.

In this tutorial, we will start off with a simple application that uses PostgreSQL as the database under the hood, and update it to still take advantage of EF Core but use MongoDB instead. So let's get started!