AgentSkillsCN

rag-query

对已导入的文档执行语义搜索查询

SKILL.md
--- frontmatter
name: rag-query
description: Perform semantic search queries on your ingested documents
version: 1.0.0
category: rag
tags: [search, query, rag]
variables:
  - name: query
    type: string
    required: true
    description: The question or topic to search for
  - name: top_k
    type: number
    default: 5
    description: Number of results to return
  - name: temperature
    type: number
    default: 0.7
    description: LLM temperature for response generation

RAG Query Skill

Step 1: Define Your Query

Please enter the question or topic you want to search for in your documents.

Example: "What are the key findings from the Q3 report?"

input:query


Step 2: Configure Search Options (Optional)


You can refine your search by adjusting parameters:


    

  • •Top K Results: {{top_k}} (number of documents to retrieve)
    • 

  • •Temperature: {{temperature}} (creativity level for AI response)
    • 



Step 3: Review Results


The skill will execute the query and display:


    

  1. •The AI-generated answer based on retrieved context
    2. 

  2. •Source documents with relevance scores
    3. 

  3. •Thinking process (if enabled)
    4. 





Confirmation Required: true
Interactive: true