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document-intelligence-rag

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Transform PDFs into searchable knowledge with AI. Local-first browser app with intelligent document processing, semantic search, and multi-provider AI chat (Groq, Gemini, Claude, Perplexity). No backend required - 100% client-side with IndexedDB storage.

  • Updated Jan 7, 2026
  • TypeScript

A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.

  • Updated Jan 10, 2026
  • PLpgSQL

A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.

  • Updated Jan 10, 2026
  • PLpgSQL

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