Overview

This repository contains a Rust workspace with three main components: embedding_generator, inf_server, and models_hf. The primary function is to generate embeddings from text data using a BERT model and serve these embeddings through a web server for similarity queries.

Components

• embedding_generator: A Rust application that reads text data from a CSV file, generates embeddings using a BERT model, and serializes these embeddings for later use.
• inf_server: A web server built with Axum that loads pre-generated embeddings and provides an endpoint to find similar texts based on a query.
• models_hf: A library that interfaces with Hugging Face models, specifically BERT, for generating embeddings and performing similarity scoring.

Getting Started

Installation

1. Clone the repository.
2. Navigate to the root of the workspace.
3. Build the workspace using Cargo:

cargo build --release

Usage

Generating Embeddings

1. Navigate to embedding_generator.
2. Run the application with a path to your CSV file:

cargo run --release -- <path_to_your_csv>

Starting the Inference Server

1. Navigate to inf_server.
2. Run the server:

cargo run --release

3. The server will start on 0.0.0.0:3000. Use the /similar endpoint to query for similar texts.

Contributing

Contributions are welcome! Please open an issue or pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.