RAG knowledge assistant

Wito AI

White-label ready

AI trained with your knowledge – for agencies and large customers, also under your own brand.

What is the RAG Knowledge Assistant?

Our RAG (Retrieval-Augmented Generation) Knowledge Assistant allows you to train an AI on your own proprietary data. It provides precise, context-aware answers based exclusively on your documents.

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White-label ready – under your brand for your customers

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Expert knowledge searchable in one place

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Professional image boost through AI-powered expertise

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Scalable and monetizable expert knowledge

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Simplified customer acquisition through AI pre-sales support

How It Works

1

Connect Data

Upload your documents, PDFs, or connect your knowledge base to the RAG system.

2

Index & Learn

Our AI indexes your content and creates a searchable vector database of your expertise.

3

Query & Answer

Users ask questions and receive precise answers based solely on your provided knowledge.

RAG Knowledge Features

Everything professional knowledge management with AI needs

Intelligent Learning

Your proprietary knowledge is stored in high-performance AI RAG models.

Precise Answers

Context-aware answers from your documents and knowledge bases.

Central knowledge archive

A searchable knowledge archive for your team, with references to the sources.

Automatic Updates

New documents are automatically indexed and made available immediately.

Usage Analytics

Detailed reports on most frequently asked questions and performance.

Ideal Use Cases

Agencies & Consultancies

Use case:

Pre-sales questions, technical follow-up questions and proposals for which your team searches the same documents again and again.

In the initial consultation we clarify:

Which of your documents an assistant should answer from, who keeps them current, and which questions still stay with a person.

Municipalities & Administration

Use case:

Citizen inquiries about responsibilities, procedures and legal bases whose answer is already in published information.

In the initial consultation we clarify:

Which citizen questions can be answered from published information, and which answer would be binding and therefore stays with the administration.

Financial Services

Use case:

Internal questions about policies, products and risks that are looked up in scattered documents today.

In the initial consultation we clarify:

Which internal policies and product information are fit to serve as a knowledge source, and which statements – on risks, for example – need expert sign-off.