Overview

MongoDB Atlas is rolling out a new Auto Embedding Index feature that automates vector generation for text fields, eliminating the need for external embedding pipelines. See NODE-7245

LangChain.js is a modular SDK that abstracts the complexity of LLM orchestration, enabling you to build composable AI workflows with standardized interfaces for prompts, models, and retrieval. It integrates with MongoDB as a vector store and long-term memory, letting you run semantic searches and persist chat history right inside your existing Atlas clusters.

We want it to support the new Auto Embedding feature to provide developers with a streamlined vector search experience.

Sample Usage

Before:

// Code example of how this currently works on LangChain

After:

// Code example of how this users in LangChain will use the new feature