AI Knowledge Base

RAG is like giving your AI an open-book test

Instead of asking AI to remember everything about your business, Brand2Chat first finds the small piece of information that answers the customer's question. It then gives that piece to the AI so it can write a clear reply.

RAG stands for Retrieval-Augmented Generation. The name sounds technical, but the idea is simple: find the right information first, then answer.

One question, three simple steps

How it works

A customer asks

“Can I return an item after 20 days?”

Brand2Chat finds

Only the relevant paragraph from your return policy.

The AI answers

It uses your policy to give a focused, business-specific reply.

Less information sent = less AI usage

Why can it cost up to 10× less?

Most AI providers charge according to how much text the AI reads and writes. This text is measured in tokens—think of tokens as small pieces of words.

Without RAG

The AI reads too much

You may need to send long instructions or large documents with every question.

Example: 10,000 tokens per answer

With RAG

The AI reads what matters

Brand2Chat sends only the few relevant passages needed for that question.

Example: 1,000 tokens per answer

Same 1,000 customer questions10× less text sent to the AI

Possible AI usage savingUp to 90%

This is an illustration, not a guarantee. Actual savings depend on your documents, question length, AI model, answer length, and provider pricing. “Up to 10× less” means a cost could fall from $10 to about $1 in a suitable case—not that every bill will do so.

Cost is not only part of the benefit

What your customers notice

Faster responses

The AI searches a focused knowledge base instead of processing everything.

Easier updates

Update your source content and future answers can use the new information.

Available with Professional

Add your AI Knowledge Base for $100 per selected brand

It is a one-time add-on payment, That will reduce your monthly AI bill by 10x

See pricing