File to GPT

This is an API that uses LangChain, Bedrock, and Postgres pgvector to provide Retrieval Augmented Generation (RAG) functionality. This project has two main endpoints: one for uploading files to the RAG system and another for interacting with the Claude3 model through AWS Bedrock.

Prerequisites

• Node.js (version 20 or higher)
• npm (version 10 or higher)
• Docker (optional)

Setup

Clone the Repository

git clone https://github.com/your-username/express-bedrock-rag.git
cd express-bedrock-rag

Set Up Environment Variables

Copy the example file and make sure to modify the .env file with your specific configurations afterward.

cp .env.example .env

Install Dependencies

npm install

Run the Project

npm start

Using Docker

Docker Compose

You can run the project using Docker Compose. Ensure Docker and Docker Compose are installed on your machine.

docker-compose up --build

Dockerfile

Alternatively, you can use Docker directly with the included Dockerfile.

docker build -t express-bedrock-rag .
docker run -p 3000:3000 express-bedrock-rag

Available Scripts

• npm start: Starts the server.
• npm run dev: Starts a server with nodemon.
• npm test: Runs the tests.

Contributing

Contributions are welcome! Feel free to open issues and pull requests.

License

This project is licensed under the MIT License.