Botzy PDF

Botzy PDF is an interactive AI assistant that can answer questions based on the content of any PDF. Upload a PDF, ask questions, and get precise, context-aware responses.

Preview

About

Botzy PDF is a web app built with Streamlit and the Google Gemini API. It uses a Retrieval-Augmented Generation (RAG) workflow to ensure the AI provides accurate answers based on your PDFs.

How it works

1. Upload PDF → The content is split into chunks.
2. Generate embeddings → Each chunk is converted into a vector representation and stored in a vector database.
3. User asks a question → The app converts the question into a vector too.
4. Retrieve relevant chunks → The system finds the chunks most similar to the question.
5. LLM generates answer → The AI uses only the relevant context to provide a grounded, accurate response.

This workflow prevents AI "hallucinations" (made-up answers) and ensures that all responses are based on the actual content of the PDFs.

Features to highlight

• Upload PDFs and get instant AI-powered answers.
• Avoids hallucinations by using RAG: only relevant chunks are used for responses.
• Interactive chat interface built with Streamlit.
• Supports multiple queries in a single session.
• Easy to extend to more document types or AI models.

Technologies

Botzy PDF is built with:

• Python
• Streamlit for the frontend and chat interface
• Google Generative AI (Gemini) for LLM responses
• PyPDF2 for PDF parsing
• chromadb and sentence-transformers for embeddings and vector database
• Custom Python utilities for text chunking and RAG workflow

Installation

Clone the repository and install dependencies:

git clone https://github.com/Nilyz/llm-pdf-assistant.git
cd llm-pdf-assistant
pip install -r requirements.txt