Agentic RAG Platform
A next-generation Retrieval-Augmented Generation system powered by autonomous agents, designed to transform how you interact with your documents through chat and audio.
System Architecture
Ingestion Layer
Handles multi-format document processing (PDF, DOCX, TXT) with robust chunking strategies. Utilizes vector embeddings stored in Supabase for high-performance semantic search.
Agentic Core
An autonomous orchestrator that analyzes user intent to route queries between direct retrieval, multi-step reasoning, or external tool usage.
Podcast Engine
Leverages Groq/Llama for script generation and Cartesia AI for hyper-realistic voice synthesis to convert static documents into engaging audio conversations.
Frontend Layer
Built with Next.js 15, Tailwind CSS, and Framer Motion. Features a responsive, dark-mode-first UI with real-time updates via Server Actions.
Key Capabilities
Advanced RAG Chat
Context-aware conversations with citations and source highlighting.
Audio Generation
One-click transformation of technical documents into podcast-style audio summaries.
Enterprise Security
Role-based access control, encrypted storage, and secure authentication flows.