Enables document question answering by ingesting and querying PDF documents using the GroundX API.
Rag Based provides a seamless solution for ingesting documents and querying them for information. Powered by the GroundX API, it allows users to upload PDF documents and then ask questions to receive context-aware answers extracted from those documents. Built with FastMCP, the server offers an ingest tool for adding new documents and an answer tool for posing queries.
Key Features
01Integrates seamlessly with Cursor IDE.
02Answer questions based on ingested documents.
03Powered by GroundX API for document parsing.
041 GitHub stars
05Ingest documents for question answering.
06Built with FastMCP
Use Cases
01Quickly extract information from research papers.
02Analyze legal documents and find relevant clauses.
03Answer questions based on specific project documentation.