Building a Custom AI Assistant with RAG

There is a big difference between hiring a generic temp worker and hiring a specialist who has studied your company for years.

Right now, most businesses are using ChatGPT like a temp. They type in a prompt, paste in a little bit of context, and hope for the best. It works okay, but it lacks depth. It doesn’t know your brand voice, your specific product constraints, or the history of your client relationships.

To get real value, you don’t need a generic chatbot. You need a Custom AI Assistant.

By combining OpenAI’s reasoning power with RAG (Retrieval-Augmented Generation), we build assistants that are experts in your business.

Why “Custom” Matters

A standard AI model is trained on the public internet. A custom RAG assistant is trained on your proprietary truth.

  • The Generic AI: “I can write a sales email based on general best practices.”
  • The Custom Assistant: “I will write a sales email using the successful template we used for the Q3 campaign, referencing our new pricing tier.”

Designing Your Assistant: The 3 Layers

When Launch Force builds a custom assistant for a client, we don’t just connect a database. We design the “brain” across three layers:

1. The Knowledge Layer (The Memory)

This is the RAG component. We connect the assistant to your specific libraries.

  • For a Law Firm: We connect it to case files and local statutes.
  • For an Agency: We connect it to past client proposals and brand guidelines. The assistant doesn’t just “guess”; it retrieves facts from your uploaded documents before answering.

2. The Persona Layer (The Voice)

An assistant for a creative agency should sound different from an assistant for a financial audit firm. We program the “System Prompt”—the core instructions that define the AI’s personality.

  • Direct vs. Empathetic
  • Concise vs. Descriptive
  • Formal vs. Casual This ensures that every output feels like it was written by a veteran member of your team.

3. The Guardrail Layer (The Safety)

This is critical for business use. A custom assistant needs boundaries. We program strict rules:

  • “Never offer legal advice.”
  • “Do not mention competitor names.”
  • “If you don’t find the answer in the Knowledge Base, admit you don’t know—do not hallucinate.”

Real-World Examples

The “Tech Support” Clone We ingested 5 years of Slack support channels and technical manuals for a software company. The result? An internal assistant that junior developers use to debug code instantly, asking questions like, “How did we solve the API latency issue in 2023?”

The “RFP” Writer For a consultancy, we built an assistant that reads a new Request for Proposal (RFP) and drafts a response based only on the company’s previous winning bids. It mimics the writing style of their best salesperson.

Stop Repeating Yourself

If you find yourself correcting the AI’s tone or pasting the same background information every time you open ChatGPT, you are wasting time.

A Custom AI Assistant starts the conversation already knowing who you are, what you sell, and how you speak.

Ready to build your company’s second brain?

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