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Glama

MCP RAG

by kalicyh

ask_rag

Query a knowledge base to get answers from processed documents using semantic search and vector retrieval technology.

Instructions

向 RAG 知识库提问,并根据存储的信息返回答案。 使用场景:

  • 询问特定主题或概念

  • 请求解释或定义

  • 从处理过的文档中获取信息

  • 基于学习的文本或文档获取答案

参数: query: 要向知识库提出的问题或查询。

Input Schema

NameRequiredDescriptionDefault
queryYes

Input Schema (JSON Schema)

{ "properties": { "query": { "title": "Query", "type": "string" } }, "required": [ "query" ], "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kalicyh/mcp-rag'

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