Aisyah AI Bot leverages natural language processing to understand users’ queries about the Quran, prayer times, and hadith. When a user asks a question, the bot parses the intent, retrieves relevant scripture and scholarly commentary, and generates a clear, concise response. It automatically updates local prayer schedules based on location data and sends timely alerts. Daily reminders such as verse-of-the-day and prophetic quotes are delivered to engage and educate. All interactions occur seamlessly within Telegram, making Islamic knowledge easily accessible anytime.

SmartRAG is a modular Python library designed for retrieval-augmented generation (RAG) workflows with large language models. It combines document ingestion, vector indexing, and state-of-the-art LLM APIs to deliver accurate, context-rich responses. Users can import PDFs, text files, or web pages, index them using popular vector stores like FAISS or Chroma, and define custom prompt templates. SmartRAG orchestrates the retrieval, prompt assembly, and LLM inference, returning coherent answers grounded in source documents. By abstracting the complexity of RAG pipelines, it accelerates development of knowledge base Q&A systems, chatbots, and research assistants. Developers can extend connectors, swap LLM providers, and fine-tune retrieval strategies to fit specific knowledge domains.