Squaredev embeddings engine is an API first product that simplifies the process of creating and storing embeddings. It also, enables features like semantic search, recommendations, RAG, image-to-image search, etc through a simple API and SQK.

Embedding engine is based in Python and Postgres making it reliable, scalable and easy to deploy.

• ?? Embeddings creation and storage through open source state of the art models.
• ?? Semantic search
• ?? Recommendations
• ?? Retrieval Augmented Generation (RAG)
• ?? Clustering

• ?? Images / multimodal
• ?? Image-to-image search
• ?? Image-to-text search
• ?? Image-to-image recommendations

We are still under development, but you can try our API by following the instructions below.

1. Clone the project

git clone https://github.com/squaredev-io/embeddings-engine.git
cd
 embeddings-engine

2. Create a virtual environment adn activate it

python3 -m venv .venv
source
 .venv/bin/activate

3. Install the dependencies

make install

4. Run the database

make db

5. Run the server

make run

6. Open your browser and go to http://localhost:8000/docs