metadata

title: Personal RAG
emoji: ⚡
colorFrom: purple
colorTo: blue
sdk: docker
pinned: false
license: mit

Ronald AI: A Personal RAG Chatbot

Overview

Ronald AI is my intelligent and friendly personal assistant, designed to answer my questions based on a specific set of documents. Built with Python using the powerful Chainlit framework for the user interface and LlamaIndex for efficient data indexing and retrieval, this application provides me with a seamless conversational experience.

The core of Ronald AI is its ability to understand and respond to queries strictly within the context of the documents I provide, ensuring accurate and relevant answers. It leverages a state-of-the-art language model from OpenRouter and a high-quality embedding model from Hugging Face to comprehend and process my questions effectively.

Features

RAG pipeline: Retrieves and grounds answers on local documents.
LLM Integration: Uses OpenRouter's OpenGVLab: InternVL3 14B Chat model for generation.
Document Indexing: Auto-loads or rebuilds index from data/.
Real-time Chat UI: Powered by Chainlit with streaming responses.
HuggingFace Embeddings: Uses BAAI/bge-small-en-v1.5 for vector search.
Simple storage: Uses LlamaIndex's persistent StorageContext.