AI-powered document chatbot enabling contextual conversations with PDFs, DOCX files, and notes using Retrieval-Augmented Generation (RAG), semantic search, and vector embeddings.
Features
- Built contextual AI document Q&A using RAG architecture
- Implemented vector embeddings and semantic retrieval pipelines
- Designed scalable indexing for fast document understanding
- Supported PDF, DOCX, and text-based uploads
- Built responsive real-time chat interface with modern UI/UX
- Optimized low-latency AI response workflows
Technologies and Skills
- Next.js
- TypeScript
- Tailwind CSS
- Node.js
- Express.js
- MongoDB
- RAG Architecture
- Vector Embeddings
- Semantic Search
- AI Integration
- File Upload Handling
- shadcn/ui