One post tagged with "docusaurus"

Over the past year, I've spent a lot of time talking to developers about Retrieval-Augmented Generation (RAG) and how MongoDB Atlas Vector Search enables efficient vector-based retrieval. While the power of MongoDB as a vector database is undeniable, I noticed a recurring theme: developers wanted a simpler way to implement RAG applications.

That's what inspired me to create MongoDB-RAG, an npm library that abstracts away the complexity of embedding generation, vector search, and document retrieval giving developers a plug-and-play way to build RAG-powered applications with MongoDB.

Today, I want to introduce the library and share some of the exciting new features we've recently added to make RAG with MongoDB even more intuitive and performant.