RAG AI Agent using Cohere with Google Drive Documents

## Why Milvus
Based on comparisons and user feedback, **Milvus is often considered a more performant and scalable vector database solution compared to Supabase**, particularly for demanding use cases involving large datasets, high-volume vector search operations, and multilingual support.


### Requirements
- Create an account on [Zilliz]({{ $env.WEBHOOK_URL }} to generate the Milvus cluster. 
- There is no need to create docker containers or your own instance, Zilliz provides the cloud infraestructure to build it easily
- Get your credentials ready from Drive, Milvus (Zilliz), and [Cohere]({{ $env.WEBHOOK_URL }}

### Usage
Every time a new pdf is added into the Drive folder, it will be inserted into the Milvus Vector Store, allowing for the interaction with the RAG agent in seconds.

## Calculate your company's RAG costs

Want to run Milvus on your own server on n8n? Zilliz provides a great [cost calculator]({{ $env.WEBHOOK_URL }}

### Get in touch with us
Want to implement a RAG AI agent for your company? [Shoot us a message]({{ $env.WEBHOOK_URL }}