I set up the RAG workflow to retrieve the data from supabase vector store. I used the Google Gemini Chat Model in Tools Agent. for Supabase vector store I used the Embeddings Google Gemini. After gave the chat, the process did not retrieve the data from supabase vector store. Is there any solution for it?
What is the error message (if any)?
The process in retrieving data from vector store did not work. There is no error message.
Please share your workflow
(Select the nodes on your canvas and use the keyboard shortcuts CMD+C/CTRL+C and CMD+V/CTRL+V to copy and paste the workflow.)
## Share the output returned by the last node
<!-- If you need help with data transformations, please also share your expected output. -->
## Information on your n8n setup
- **n8n version: 1.67.1
- **Database (default: SQLite):
- **n8n EXECUTIONS_PROCESS setting (default: own, main):**
- **Running n8n via (Docker, npm, n8n cloud, desktop app): Docker/npm
- **Operating system: windows
Ensure to copy your n8n workflow and paste it in the code block, that is in between the pairs of triple backticks, which also could be achieved by clicking </> (preformatted text) in the editor and pasting in your workflow.
```
<your workflow>
```
That implies to any JSON output you would like to share with us.
Make sure that you have removed any sensitive information from your workflow and include dummy or pinned data with it!
Perhaps you need to adjust your prompt to AI Agent. If it finds the answer within the model it will not look into the tool.
You are using the default prompt. Try to customize it with more specific instruction what is expected of the agent.
