RAG AI Agent with Milvus and Cohere

## 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](https://zilliz.com/) 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](https://cohere.com)

### 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](https://zilliz.com/rag-cost-calculator/)

### Get in touch with us
Want to implement a RAG AI agent for your company? [Shoot us a message](https://1node.ai)