Elysia: An Agentic RAG App

Elysia is an agentic Retrieval-Augmented Generation (RAG) application designed to enhance the capabilities of AI models by integrating them with external knowledge bases. This application leverages the power of Weaviate, a vector search engine, to provide contextually relevant information to AI models, thereby improving their performance in tasks requiring external knowledge.

Getting Started

Prerequisites

Ensure you have the following installed:

• Python 3.12
• pip (Python package manager)

Installation

1. Clone the repository:

   git clone https://github.com/edcalderin/elysia-agentic-rag-app.git
   cd elysia-agentic-rag-app

2. Create and activate a conda environment:

   conda create --name elysia-env python=3.12
   conda activate elysia-env

3. Install the required packages:

   pip install -r requirements.txt

4. Set up your environment variables. Create a .env file in the root directory and add your Weaviate credentials (ie. .env.example):

   WEAVIATE_URL=
   WEAVIATE_API_KEY=
   OPENAI_API_KEY=
   

Usage

Run the Elysia application:

   elysia start

Acknowledgments

• Thanks to the developers of Weaviate for providing a powerful vector search engine.