RAG-PCS

RAG Based Secure Cloud is a document intelligence project that combines secure file storage with retrieval-augmented search. The core objective was to make large document collections searchable through both semantic relevance and keyword precision.

The system pipeline focuses on ingestion, indexing, and fast retrieval so users can upload heavy content and get useful answers without manually scanning files. Security and data isolation were treated as core constraints throughout the architecture.

• Ingestion pipeline for large document sets
• Hybrid retrieval using semantic and keyword search signals
• Retrieval-first experience for faster question answering