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6 changes: 3 additions & 3 deletions apps/springai-terraform-rag/README.md
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# MongoDB Atlas + Terraform Spring Boot RAG Application

This repository demonstrates how to build a **Retrieval-Augmented Generation (RAG)** application using **Spring Boot**, **OpenAI embeddings**, and **MongoDB Atlas Vector Search**. The infrastructure is automated using **Terraform** to provision and manage MongoDB Atlas resources.
This repository demonstrates how to build a **Retrieval-Augmented Generation (RAG)** application using **Spring Boot**, **OpenAI embeddings**, and **MongoDB Vector Search**. The infrastructure is automated using **Terraform** to provision and manage MongoDB Atlas resources.

## Overview

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## Features
- **Automated Infrastructure**: Terraform is used to provision MongoDB Atlas resources including clusters, vector search indices, and access controls.
- **RAG Implementation**: A Spring Boot application that uses OpenAI to generate embeddings, with MongoDB Atlas vector search to perform semantic searches.
- **RAG Implementation**: A Spring Boot application that uses OpenAI to generate embeddings, with MongoDB vector search to perform semantic searches.
- **Document Loading**: Upload documents and store their embeddings for use in vector search.
- **Querying with Vector Search**: Search documents by semantic similarity using a custom `/question` endpoint.

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## Technologies Used
- **Spring Boot**: Java-based framework for building REST APIs.
- **MongoDB Atlas**: An integrated suite of data services (including Atlas Vector Search) centered around a cloud database designed to accelerate and simplify how you build with data. Build faster and build smarter with a developer data platform that helps solve your data challenges. Click [here](https://www.mongodb.com/products/platform/atlas-database) to learn more.
- **MongoDB Atlas**: An integrated suite of data services (including MongoDB Vector Search) centered around a cloud database designed to accelerate and simplify how you build with data. Build faster and build smarter with a developer data platform that helps solve your data challenges. Click [here](https://www.mongodb.com/products/platform/atlas-database) to learn more.
- **OpenAI**: Generates embeddings for semantic searches.
- **Terraform**: Automates infrastructure management for MongoDB Atlas.
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