Technology Deep Dives

Executive Briefing

Implementing Retrieval-Augmented Generation (RAG):
Moving Beyond Generic ChatGPT

Learn how an AI engineering partner in Europe implements RAG to provide secure AI assistants grounded in private data.

The current global economic landscape demands a reassessment of traditional delivery models. As businesses scale, the friction between quality, cost, and speed often reveals structural weaknesses in conventional delivery strategies.

As an AI engineering partner in Europe, we specialize in grounding LLMs with RAG on private data to eliminate hallucinations.

45%

Accuracy Increase

<2s

Retrieval Latency

100%

Data Grounding

RAG Architecture

An effective RAG system requires optimized vector search and hybrid data retrieval.

Standard LLM vs. RAG System

FEATURE	STANDARD LLM	RAG SYSTEM
Knowledge	Static (Training)	Dynamic (Live Data)
Hallucinations	Common	Minimal
Data Privacy	Public Data	Enterprise Data
Traceability	None	Source Citations

Direct answers to the critical questions asked by C-suite executives during the strategic transition phase.

Does RAG work with any LLM?

Yes, RAG is model-agnostic and can be used with OpenAI, Anthropic, or Llama.

Are my data secure?

Yes, with GDPR-compliant delivery, data remains within your controlled environment.

Want to talk to a Mereb engineer?

Before any commercial conversation, we'll put you on a 30-min call with a senior engineer in your stack. No salespeople. Just a technical sanity check.

50+

Products shipped for product companies

Years average engineering experience

Entities (Warsaw, Dubai, Addis Ababa)

14 days

Average team onboarding time

Tell us what you're working on.

We'll respond within one business day with the right next step.

Book a call

Engineering Focus

No Sales

Technology Deep Dives

Executive Briefing

Implementing Retrieval-Augmented Generation (RAG):
Moving Beyond Generic ChatGPT

Learn how an AI engineering partner in Europe implements RAG to provide secure AI assistants grounded in private data.

As an AI engineering partner in Europe, we specialize in grounding LLMs with RAG on private data to eliminate hallucinations.

45%

Accuracy Increase

<2s

Retrieval Latency

100%

Data Grounding

RAG Architecture

An effective RAG system requires optimized vector search and hybrid data retrieval.

Standard LLM vs. RAG System

FEATURE	STANDARD LLM	RAG SYSTEM
Knowledge	Static (Training)	Dynamic (Live Data)
Hallucinations	Common	Minimal
Data Privacy	Public Data	Enterprise Data
Traceability	None	Source Citations

Direct answers to the critical questions asked by C-suite executives during the strategic transition phase.

Does RAG work with any LLM?

Yes, RAG is model-agnostic and can be used with OpenAI, Anthropic, or Llama.

Are my data secure?

Yes, with GDPR-compliant delivery, data remains within your controlled environment.

Want to talk to a Mereb engineer?

Before any commercial conversation, we'll put you on a 30-min call with a senior engineer in your stack. No salespeople. Just a technical sanity check.

50+

Products shipped for product companies

Years average engineering experience

Entities (Warsaw, Dubai, Addis Ababa)

14 days

Average team onboarding time

Tell us what you're working on.

We'll respond within one business day with the right next step.

Book a call

Engineering Focus

No Sales

Implementing Retrieval-Augmented Generation (RAG): Moving Beyond Generic ChatGPT

RAG Architecture

Standard LLM vs. RAG System

Does RAG work with any LLM?

Are my data secure?

Want to talk to a Mereb engineer?

Tell us what you're working on.

Implementing Retrieval-Augmented Generation (RAG): Moving Beyond Generic ChatGPT

RAG Architecture

Standard LLM vs. RAG System

Does RAG work with any LLM?

Are my data secure?

Want to talk to a Mereb engineer?

Tell us what you're working on.

Implementing Retrieval-Augmented Generation (RAG):
Moving Beyond Generic ChatGPT

Implementing Retrieval-Augmented Generation (RAG):
Moving Beyond Generic ChatGPT