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?"

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. Source documents with relevance scores
3. Thinking process (if enabled)

Confirmation Required: true Interactive: true