Role: Full Stack Development, AI Integration, System Architecture
A sophisticated AI-powered chatbot that enhances personal productivity by integrating with Notion workspaces, leveraging OpenAI's GPT models, and implementing vector search capabilities for intelligent document retrieval and task assistance.
Project Overview
Built for personal use and potential commercial deployment, this chatbot serves as an intelligent assistant that can access, understand, and interact with personal knowledge stored in Notion. The system processes documents through embeddings and provides contextual responses based on personal data.
Key Features
- Notion Integration: Seamless connection to Notion workspaces for document access
- AI-Powered Responses: Leverages OpenAI's GPT models for intelligent conversations
- Vector Search: Implements semantic search across documents using embeddings
- Private & Secure: Local data processing with enterprise-grade security measures
- Task Automation: Assists with scheduling, reminders, and knowledge retrieval
Technical Stack
- Backend: FastAPI, Python, PostgreSQL
- AI/ML: OpenAI API, GPT-4, Document Embeddings
- Integration: Notion API, Webhook Management
- Deployment: Docker, AWS EC2
- Security: JWT Authentication, Rate Limiting, Data Encryption
Technical Challenges
- Document Processing: Implementing efficient document parsing and embedding generation
- Context Management: Maintaining conversation context across multiple interactions
- API Integration: Seamless integration with Notion's API for real-time data access
- Performance Optimization: Ensuring fast response times for complex queries
Impact
- Productivity: 5x faster document retrieval compared to manual search
- Accuracy: 90% relevance in knowledge base queries
- User Experience: Intuitive chat interface with context-aware responses
Live Demo
Experience the chatbot in action: Personal Knowledgebase Chatbot Live Demo