  To provide AI researchers with modern tools for dealing with the explosive
growth of the research literature in their field, we introduce a new platform,
AI Research Navigator, that combines classical keyword search with neural
retrieval to discover and organize relevant literature. The system provides
search at multiple levels of textual granularity, from sentences to
aggregations across documents, both in natural language and through navigation
in a domain-specific Knowledge Graph. We give an overview of the overall
architecture of the system and of the components for document analysis,
question answering, search, analytics, expert search, and recommendations.
