If you are not too familiar with "semantic search," think of it as RAG.

To enable semantic search for text, image, etc, we need to pre-process our data before sending it to the database.

My framework works as a middle layer between your app and existing databases, where all the processings happen.

The key differentiator is its MongoDB-compatible NoSQL interface: you interact with this RAG engine exactly as you would with MongoDB, while benefiting from powerful vector search and document-augmentation capabilities.

It's open source: https://github.com/onenodehq/onenode