Enables intelligent academic paper discovery through ArXiv search and AI-powered semantic similarity analysis. Helps researchers find and rank the most relevant papers using natural language queries and state-of-the-art sentence transformers.
Enables semantic search across indexed documents using vector embeddings. Index GitHub repositories and URLs to perform natural language queries with AI-enhanced contextual results.
Enables semantic search and retrieval of bookmarked URLs content using vector embeddings, with support for multiple backends and AI assistant integration.
Enables semantic search over Databricks docs, API reference, Terraform provider docs, and knowledge base via tools like search_databricks_docs and research.
