Transforms PDF collections into a searchable knowledge base using TF-IDF indexing and proximity matching. It enables users to search documents, retrieve specific page content, and manage document libraries through natural language via MCP clients.
Enables semantic search across personal PDF paper collections with page-level citations, allowing users to query their library from any MCP-capable client.
Provides tools for ingesting documents into a local vector database and retrieving relevant information via semantic search, enabling retrieval-augmented generation for MCP clients.
