Gemini’s New File Search Just Leveled Up RAG Agents (10x Cheaper)

🔗 Link do vídeo: https://www.youtube.com/watch?v=irg-2IfAjpo
🆔 ID do vídeo: irg-2IfAjpo

📅 Publicado em: 2025-11-23T17:26:50Z
📺 Canal: Nate Herk | AI Automation

⏱️ Duração (ISO): PT18M46S
⏱️ Duração formatada: 00:18:46

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In this video I walk you through how to use Gemini's new File Search API to take your n8n RAG agents to the next level. This setup is super simple and does not require any coding. You can drop in a document, let Gemini handle all of the indexing and storage for a very cheap price, and start running powerful RAG agents right away.

The best part is that you can store your documents for free and then plug your AI agents into the File Search API so they can search through everything. It makes building RAG systems easier than ever before.

I also cover a few important things to think about before you start. It is a game changer, but it is not magic. There are a few details that matter for accuracy and performance, and I walk you through those so you know how to get reliable results.

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TIMESTAMPS
00:00 What is Gemini File Search
03:26 What We’re Building in n8n
04:42 Setting up the Gemini API Authentication
07:38 Uploading the File to Gemini File Store
10:31 Setting up RAG Agent
13:29 Analyzing Search Results
14:34 Running Evaluation on 3 PDFs
15:49 Final Considerations
17:49 Want to Master RAG Agents in n8n?