RAG Knowledge Bases. Your Company Knowledge, Instantly Accessible.

We unlock your internal data sources. With GDPR-compliant RAG systems, your teams find answers in seconds - grounded in your own PDFs, wikis, and databases.

Book a call How it works
Specifications
Every answer backed by a source citation
Role-based access via Active Directory

Knowledge, not hallucinations.

BEFORE
✕Invented Facts Standard AI tends to invent answers with no grounding in real company data.
✕Scattered Knowledge Staff manually search PDFs, wikis, and databases for answers.
✕Unprotected Data Sharing Sensitive company knowledge risks flowing into public AI models.
AFTER
✓Cited Answers The AI answers exclusively based on your documents and cites every claim with sources.
✓Instant Search Vector databases find semantically relevant passages in milliseconds.
✓Privacy-Aware Architecture Enterprise APIs with opt-out options or privacy-conscious hosting configured to GDPR requirements.

Use Cases for RAG Systems

Employee Helpdesk

Fast access to HR policies, operating procedures, vacation rules, and training materials.

Technical Support

Support staff instantly find technical specifications and repair guides from decades of PDF archives.

Document Audits

Semantic matching of contracts or compliance requirements against current legal texts.

Supported Technologies

We combine modern embedding models with powerful vector databases for precise, cited answers.

Qdrant
Pinecone
pgvector
Llama 3
Mixtral
OpenAI API
Qdrant
Pinecone
pgvector
Llama 3
Mixtral
OpenAI API

The path to your own knowledge base.

1
Content audit process diagram

Data Audit

We review your document sources (PDFs, wikis, databases) and define the ingestion strategy.

2
Content review checklist with document icons

Chunking & Embedding

We design performant pipelines for data ingestion and semantic chunking.

3
Website page structure with code and performance icons

Vector Indexing

We set up the vector database and connect it to your permission system.

4
Secure CMS dashboard with admin access and settings

Rollout & Tuning

We test answer quality and continuously optimize retrieval accuracy.

Unlock your company knowledge.

Let's talk about your document volumes and security requirements. We'll design the right architecture.

Plan your RAG system

Frequently Asked Questions About RAG Knowledge Bases

What's the difference between RAG and classic AI chatbots?

Standard AI models answer from general training knowledge and tend to hallucinate. RAG grounds the AI in your actual company documents and cites every answer with sources.

Is my company knowledge safe from model training with RAG?

Yes. We use exclusively protected enterprise APIs with opt-out guarantees regarding model training, or host capable open-source LLMs directly on dedicated servers within the EU.

Which document formats does the system support?

We seamlessly process PDF, Word, Markdown, Excel, SQL databases, and web links. The system also integrates with existing user permissions (Active Directory / OAuth).