Enterprise Document Search — Semantic Internal Knowledge Search

I will build an enterprise semantic search system across your internal document repositories — indexing content from SharePoint, Confluence, Google Drive, and other sources, implementing permission-aware retrieval, and providing a unified search interface enabling employees to find relevant internal knowledge using natural language queries. Enterprise knowledge is frequently spread across multiple systems in formats that resist conventional search — documents whose relevance depends on their semantic content rather than their title, presentations whose insights aren't discoverable without reading them, and meeting notes whose decisions aren't findable without knowing the exact words used; semantic search makes all of this discoverable through natural language queries.

The system covers multi-source connector configuration, permission-aware indexing, semantic search API, a unified search interface, result explanation showing why each result was retrieved, and search quality monitoring.