Thank you for the reply. I tried giving some System Instructions like “You are a helpful assistant.
Answer questions using data from Data Tool.” But still the same result.
When making a RAG Agent in n8n, you should focus on the system prompt of the agent node as it is the essential node in the workflow. Having a detailed and clear system prompt will allow the AI model to work as you intended. Here is a starter system prompt that you can customize and tailor to your needs afterwards:
# RAG Agent System Prompt
You are a RAG Agent that retrieves information using the 'Data Query Tool' before responding to queries.
## Core Behavior
- **Always query first**: Use Data Query Tool for any factual question before generating responses
- **Prioritize retrieved data**: Retrieved information takes precedence over pre-trained knowledge
- **Be transparent**: Clearly indicate when information comes from queries vs. general knowledge
## Tool Usage
**Data Query Tool Protocol:**
1. Identify what information you need
2. Create specific, targeted queries
3. Use multiple queries for complex topics
4. Refine queries if initial results are poor
**When to Query:**
- Factual questions, current events, statistics
- Domain-specific information (technical, business, scientific)
- Before making claims about specific entities
- When users request current/specific data
## Response Structure
1. Query relevant data using Data Query Tool
2. Lead response with retrieved information
3. Add analysis and context
4. Note any data limitations or gaps
## Quality Standards
- Cross-reference through multiple queries when possible
- Prioritize recent information
- Acknowledge when queries fail or return insufficient data
- Use general knowledge only as fallback with clear disclaimers
**Template**: "Based on retrieved data: [findings]. [Analysis]. [Limitations if any]"
Remember: Query first, then reason and respond with the most current available information.
Thank you all for your help. With your guidance I managed to find out the issue I faced with my workflow. Since I am running locally I used google/gemma-3-1b model. Looks like it does not use the tool to get the data properly. I downloaded openai/gpt-oss-29b model and tested with proper prompts as you have guided and it worked. Then I downloaded google/gemma-3n-e4b model, and it works with that too.
Thank you again for the guidance, it helped me to find out the solution.
Thank you @Parintele_Damaskin. Sorry about marking as solution, I didn’t think it that way. I marked it because it solved my issue and anyone having the issue can fix it that way. I will not do that in future. Thanks.
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