Save Costs In RAG Workflows using the Q&A Tool With Multiple Models

This template shows how to use the Question and Answer tool to save costs in RAG use cases. Who is this for? This template is for everyone who wants to start giving knowledge to their Agents through RAG. Requirements Have a PDF with custom knowledge that you want to provide to your agent. Setup No setup required. Just hit Execute Workflow, upload your knowledge document and then start chatting. How to customize this to your needs Add custom instructions to your Agent by changing the prompts in it. Add a different way to load in knowledge to your vector store, e.g. by looking at some Google Drive files or loading knowledge from a table. Describe your data properly in the Q&A tool Exchange the

Help me set up the n8n workflow "Save Costs In RAG Workflows using the Q&A Tool With Multiple Models" (https://n8n.io/workflows/5011). It uses: AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Vector Store, Default Data Loader, Vector Store Question Answer Tool. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.