Need a make.com expert for building RAG agents in make.com with Gemini. Let's discuss

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1

I am looking to hire a person for helping build RAG agents in make.com. Eventually, we’ll be working on the complete product, so let’s connect to get this started.

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Hi @Kartik_Mehta,

If you are looking for someone with more than 5 years of experience and certified expertise, I would be glad to help.

Please feel free to explore my services, and I would also be glad to connect on LinkedIn to move forward.

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I’m an experienced Make.com automation expert and can help you build RAG agents efficiently. I have a strong background in designing scalable workflows, integrating APIs, and automating complex processes. I’m excited to connect and discuss how we can get started on this project and eventually contribute to the complete product.

:page_facing_up: Check my profile: https://www.upwork.com/freelancers/farhana401

:telephone_receiver: Book a quick call:Calendly - Automaxion

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Hi @Kartik_Mehta I believe our automation expert can help you with this! Check your DMs for more information :smiley:

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@Kartik_Mehta You are looking for a Make.com expert who can design and build RAG agents using Gemini as the core model, then extend that work into a complete product. My focus is to translate this into a clear, modular architecture in Make.com that you can grow from first agent to full platform.

My approach is to build clean, testable, and scalable workflows in Make.com with clear separation between ingestion, embedding, retrieval, and response generation. I design scenarios with strong QA, standardization, and observability so you can monitor performance, debug issues fast, and iterate safely as the product evolves.

  1. What is the primary use case for the first RAG agent (support, internal knowledge assistant, sales enablement, something else)?

  2. Which data sources do you want to use for retrieval (Google Drive, Notion, Google Sheets, custom database, website content, other tools)?

  3. Roughly how many documents or records do you expect in the knowledge base, and how often will they change?

  4. Do you already have a preferred vector database or embedding storage, or are you open to recommendations that integrate well with Make.com and Gemini?

  5. Through which channels should users talk to the agent (web chat widget, WhatsApp, email, Slack, internal dashboard, others)?

  6. Are there any security, compliance, or data residency constraints?

I’ll wait for your reply. Thanks!