🚀 NotionAtlas — AI Semantic Search & RAG Assistant for Notion

Transform your Notion workspace into an interactive, intelligent knowledge assistant featuring Retrieval-Augmented Generation (RAG), semantic search, and real-time answers from powerful AI models.

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⚡️ Tech Stack

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📖 Overview

NotionAtlas is an end-to-end AI toolkit that turns your Notion workspace into a smart, conversational, and context-aware knowledge base. It combines best-in-class semantic search with state-of-the-art LLMs (like Llama 4) to deliver accurate, grounded answers — all through a modern Streamlit interface.

• End-to-End RAG Workflow: Automates extraction, chunking, embedding, retrieval, and generation over your Notion content.
• AI-Powered Q&A: Seamlessly blends semantic search and large language models for instant, context-rich answers.
• User-Friendly Interface: Engage with your Notion knowledge through an intuitive chat app, accessible from any browser.

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✨ Features

• 🍀 Automatic Notion Extraction: Pulls and structures content directly from Notion using its API.
• 🔍 Semantic Search & Smart Chunking: Indexes your workspace into fine-grained, searchable chunks (flashcards, paragraphs, Q&A).
• 🤖 RAG (Retrieval-Augmented Generation): Retrieves the most relevant Notion context and augments LLM answers for accuracy and trust.
• 🧠 Real-Time Conversational Q&A: Ask anything, get instant, context-aware responses. Supports flashcard drill-down and deep search.
• ⚡ Production-Ready & Configurable: Modular design, secure API key handling, and one-click deploy.
• 🛡️ Privacy First: Only relevant Notion snippets are sent to the AI for answering; your data stays safe.

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🚀 Usage Instructions

1. Notion Data Extraction

python DatabaseExtractor.py

Extracts structured Notion content to a local JSON/text file.

2. Generate Embeddings & Upload to Qdrant

Run the notebook:

NotionRAG.ipynb

Creates sentence-level embeddings and stores them in Qdrant.

3. Launch Streamlit Demo

python StreamlitApp.py

Access your real-time chat interface with Qdrant-powered retrieval and LLaMA or OpenAI responses.

🛠 Dependencies

Install dependencies with:

pip install -r requirements.txt

🌐 Notes

• Ensure your Notion API token and database/page IDs are properly configured.
• Update Qdrant host, collection name, and API keys as needed.
• LLaMA credentials required for chatbot responses.
• Huggingface token for sentence-transformers
• Update the credentials in your environment or config files before running.

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Contributions welcome. Built with ❤️ for modern knowledge management and AI innovation.