RAG Knowledge Assistant

Turn scattered docs into one intelligent, synthesized answer.

Organizations struggle with fragmented documentation and inefficient knowledge retrieval — teams spend hours searching scattered documents, PDFs and wikis with no unified, intelligent way to synthesize information across sources. This RAG (retrieval-augmented generation) system fixes that: it ingests documents from across the organization and lets anyone ask a question in plain language, returning a synthesized, cited answer drawn from every relevant source instead of a list of links to dig through.

• Unified document ingestion
• Natural-language retrieval
• Cross-source synthesis
• Cited answers
• PDF & wiki support