RAGify

The challenge

Teams had thousands of PDFs and documents with answers buried inside, but no fast way to search them beyond exact keyword matching.

Our approach

• 1

  Built a document ingestion pipeline handling PDFs, Word docs, and scanned files with OCR fallback.

• 2

  Implemented chunking and embedding tuned for long-form documents, stored in a vector database for semantic search.

• 3

  Added citation tracing so every answer links back to the exact source page.