Integrating RAG Search into a Notion Clone with Mongoose and Astra DB

In this blog post, the author demonstrates how to extend notion-clone, an open-source clone of Notion, to use vector search for retrieval-augmented generation (RAG) with Mongoose and Astra DB. RAG enables the LLM to answer questions based on notes entered into notion-clone by finding relevant content using vector search. The implementation includes changes to the backend, such as implementing a $vector property using Mongoose save() middleware and converting HTML to plain text for accurate embeddings. Additionally, rate limiting support is added to prevent abuse. Overall, this combination of Astra DB and Mongoose provides an efficient vector search integration within a sophisticated database framework.