Content Pilot is a production-style AI platform that combines intelligent document analysis, website understanding, and AI-powered content generation into a single application. Built with modern LLM technologies, it enables users to interact with PDFs, explore websites conversationally, and generate high-quality content through an intuitive Streamlit interface.
The platform features an advanced PDF Chat module where users can upload one or multiple PDF documents and ask questions in natural language. Using a Retrieval-Augmented Generation (RAG) pipeline, the system retrieves relevant document sections before generating responses, ensuring that answers remain grounded in the uploaded documents rather than relying solely on the language model's pre-trained knowledge.
Content Pilot also includes a Website Chat module that transforms any publicly accessible website into an interactive AI assistant. Users simply provide a website URL, after which the application extracts the webpage content, preprocesses it, generates semantic embeddings, stores them in a vector database, and answers questions using context-aware retrieval.
A key component of the platform is the AI Content Studio, a multi-agent content generation system that converts a single topic into a complete content package including newsletters, blog posts, and platform-specific social media content. Multiple AI agents collaborate to generate, review, refine, and improve the content before presenting the final result, ensuring higher quality and consistency.
The application leverages LangChain, LangGraph, ChromaDB, HuggingFace Sentence Transformers, Google Gemini, Groq LLM, and Streamlit. Website and document content are intelligently split into semantic chunks, converted into vector embeddings, indexed within ChromaDB, and retrieved through similarity search for accurate, context-aware responses.
Content Pilot supports multiple independent chat sessions, persistent conversation history, intelligent retriever management, modular architecture, and production-ready workflows. The project demonstrates practical implementation of Large Language Models (LLMs), Natural Language Processing (NLP), Semantic Search, Retrieval-Augmented Generation (RAG), and Multi-Agent AI Systems in a real-world application.
By combining document intelligence, website understanding, and automated content generation into one unified platform, Content Pilot showcases how modern AI technologies can significantly improve productivity while providing accurate, context-aware, and reliable responses.