This PDF Search extension for Zed, developed by stano, enables semantic searching of PDF documents and integrates results with Zed's AI Assistant. It uses a Qdrant vector database for storing document embeddings and OpenAI's API for generating them. The extension implements a RAG-style approach, allowing users to query PDF content through Zed's interface. Built with Rust and Python, it offers a unique combination of Zed integration and semantic PDF search capabilities. This tool is particularly useful for researchers, students, or professionals who frequently work with PDF documents and need quick, context-aware access to their contents within their coding environment.
No explicit actions found
This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
아직 리뷰가 없습니다. 첫 번째 리뷰를 작성해 보세요!
대화에 참여하려면 로그인하세요
