DocuSync

DocuSync is a sophisticated document synchronization and pre-processing engine designed for the 2026 AI landscape. It solves the 'stale data' problem in Retrieval-Augmented Generation (RAG) by implementing real-time Change Data Capture (CDC) across disparate silos including SharePoint, Google Drive, Notion, and local S3 buckets. Architecturally, DocuSync employs a multi-stage pipeline: first, it utilizes advanced layout-aware OCR to parse complex documents (PDFs, spreadsheets, and diagrams); second, it applies semantic chunking with overlapping windows to preserve context; and third, it manages the automated upserting of vectors into major databases like Pinecone, Weaviate, and Milvus. By 2026, DocuSync has positioned itself as the critical middleware between static enterprise data and dynamic LLM applications. Its engine includes built-in PII masking and permission-aware indexing, ensuring that the AI's retrieval layer respects the original document's Access Control Lists (ACLs). This makes it indispensable for legal, financial, and healthcare sectors where data privacy and real-time accuracy are non-negotiable for AI-driven decision-making.