Enables browsing and preparing study materials from local documents (PDF, Markdown, text, Word) via tools for overview, search, reading, chunking, and quiz generation.
Converts study materials like PDFs, slides, and DOCX into a searchable vector database with semantic search, summarization, and flashcard generation, integrated with Notion.
Enables personalized AI tutoring by allowing students to upload PDF/DOCX study materials that are processed and indexed for semantic search. Provides intelligent responses based on the student's own learning materials using RAG technology.
Enables building and exploring a knowledge graph from files (PDF, DOCX, code) with AI enrichment via Ollama or Claude. Supports pinning documents, linking entities, and traversing the graph.
Exposes course documents as searchable resources and provides tools for reading, study task management, and source-grounded quiz prompts. Supports hybrid retrieval and integration with DeepSeek-based agents.
Enables semantic search and conversational querying across a personal research library of PDFs, DOCX, and other documents using a vector database. It provides tools for document summarization, finding related papers, and high-accuracy retrieval for AI clients like Claude Desktop.