作者位次 #2/4SIGIR 2026Poster· Information Retrieval (Demo)
MCP Servers for Pyserini and RankLLM: Enabling Agentic Retrieval-Augmented Generation
Yijun Ge · Zibo Guo · Sahel Sharifymoghaddam · Jimmy Lin
摘要
Large language models (LLMs) increasingly rely on retrieval-augmented generation (RAG), where search results are provided as external context to improve grounding and factuality. The Model Context Protocol (MCP) is an emerging industry standard for connecting LLMs to external tools. We present MC...