Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Topic ModelingInformation Retrieval and Search Behavior
Abstract
Lokale RAG-Wissensbasis für wissenschaftliche Fachliteratur (PBPK und Pharmakometrie): PDF-Extraktion mit GROBID und optional Google Document AI, sektionsbasiertes Chunking, Embeddings (bge-large) und BM25 in Qdrant für hybride Suche; ein MCP-Server in Python stellt Such- und Annotationswerkzeuge für Sprachmodelle bereit. Offline-Tests (pytest) prüfen Zerlegung, hybride Suche und MCP-Server an einem synthetischen Korpus, und ein Werkzeug in eval/ bereitet die Auswertung von Trefferquote und Quellentreue vor (Ergebnisse folgen). Nur Code, keine Literaturdaten. English summary: A local retrieval-augmented knowledge base for scientific literature (PBPK and pharmacometrics): PDF extraction with GROBID and optionally Google Document AI, section-based chunking, embeddings (bge-large) and BM25 in Qdrant for hybrid search; an MCP server written in Python provides search and annotation tools for language models. Offline tests (pytest) check chunking, hybrid search and the MCP server on a synthetic corpus, and a tool in eval/ prepares the evaluation of hit rate and source fidelity (results to follow). Code only, no literature data.
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Microsoft Research Blog· microsoft.comOct 15, 2026
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