Release Notes for RAG-nificent v0.0.1

I am excited to announce the first release of RAG-nificent, a cutting-edge chatbot system designed to revolutionize the way researchers, policy makers, and the public access and interact with key PDF documents. This initial release, version 0.0.1, introduces a robust platform built upon the latest advancements in Retrieval-Augmented Generation (RAG) and AI technologies.

Key Features

• Conversational Interface: Engage naturally with RAG-nificent to retrieve precise information from a curated collection of PDF documents. The interface is designed to understand and respond to queries with high relevance and accuracy.

• Direct Citation: Responses are not just informative—they are verifiable. Each answer provided by RAG-nificent includes a direct link to the source PDF page, ensuring that users can trace the origin of the information.

• PDF Directory: At launch, the directory includes important WHO recommendations on major health topics such as schistosomiasis and malaria, with plans to expand to other documents based on user needs and feedback.

Enhancements and Fixes

• Implemented OpenAI embeddings to convert user queries into a format suitable for deep learning models.
• Integrated Pinecone vector search to efficiently locate the most relevant sections across the document repository.
• Developed a smooth setup process to facilitate easy installation and configuration of the RAG-nificent environment on local systems.

Setup Instructions

• Clone the repository and install required dependencies to get started with ease.
• Detailed setup instructions are provided to ensure users can configure and run the application without needing extensive technical knowledge.