🧠 RAG-as-a-Service

Donnez une mémoire to your IA

Retrieval-Augmented Generation: The technology that allows your AI to access your proprietary data for ultra-precise, contextual and verifiable responses.

Your documents contain a gold mine of untapped information. Our RAG technology transforms your PDFs, emails and databases into an intelligent assistant that instantly answers all your team's questions. No more hours wasted searching for information.

What is RAG ?

Le Retrieval-Augmented Generation is a technique that combines the power of large language models (LLMs) with the ability to retrieve specific information from your databases, documents and internal systems.

Instead of having a generalist AI that sometimes "hallucinates", you get an assistant that :

  • Accesses YOUR data in real time
  • Cites its sources in a verifiable way
  • Stays up to date with your latest information
  • Minimizes errors and hallucinations

How it works ?

1

Indexing

Your documents are transformed into searchable vector embeddings

2

Search

For each question, the system finds the most relevant passages

3

Generation

The AI generates an answer based on these passages, with citations

Use cases RAG

Concrete applications in your business

📚

Documentation Assistant

ROI: 70% time saved

Transform your manuals, internal procedures, and guides into a conversational AI accessible 24/7.

Concrete example:

"How to install module X on server Y?"
→ The AI finds the exact section in your technical doc and provides the steps with context.

Ideal for:
Internal support Onboarding Training
💼

Intelligent Customer Support

ROI: 60% tickets reduced

Chatbot that knows ALL your products, policies, and FAQs inside out.

Concrete example:

"What is your return policy for defective products?"
→ Responds with the exact policy + conditions + procedure to follow.

Ideal for:
E-commerce SaaS Services B2B
🔍

Document Analysis

ROI: 80% analysis time saved

Extract insights from thousands of documents, contracts, reports in seconds.

Concrete example:

"Which contracts include a non-compete clause of more than 2 years?"
→ Scans 500 contracts and returns the list with relevant excerpts.

Ideal for:
Legal Finance Search
📊

Automated Reporting

ROI: 50% reporting time saved

Generate custom reports from your business data in natural language.

Concrete example:

"Monthly sales report by region with YoY comparison"
→ Generates the complete report with charts and analysis automatically.

Ideal for:
Sales Analytics Executive
⚖️ Case Study

RAG for Lawyers: A Concrete Example

Discover how a law firm uses RAG to handle 1000+ cases efficiently

😰

Before RAG

Manual search: 2-3h per case to find jurisprudence and precedents

Risk of oversight: Important clauses undetected in 1000+ pages

Inaccessible expertise: Junior associates without quick access to precedents

Billing: Lost hours = lost revenue

Estimated cost:

15-20h/week lost

🎯

With RAG

Instant search: "Economic dismissal jurisprudence 2020-2024" → Results in 3 sec

Precise citations: Exact references with page number and date

Democratization: All associates access senior expertise

Direct ROI: +40% cases handled with the same team

Measured gain:

12h/week saved

💬 Typical question asked to RAG:

"What are the precedents in our firm regarding dismissals for professional unfitness with refused reclassification offer, between 2020 and 2024?"

Réponse RAG en 3 secondes :

  • ✓ 12 dossiers similaires identifiés
  • ✓ 8 jugements favorables, 4 défavorables
  • ✓ Arguments clés : proposition écrite de reclassement + délai de réponse respecté
  • ✓ Sources: Files #2457, #3021, #3892... with dates and judges

Ce scénario est réel. Nos clients cabinets d'avocats gagnent en moyenne 12 à 15 heures par semaine grâce au RAG.

Discuss my use case →

Our RAG Stack

Cutting-edge technologies for optimal performance

🤖 LLMs

  • • GPT-4 / GPT-4 Turbo
  • • Claude 3 Opus / Sonnet
  • • Open-source models (Mistral, Llama)

📊 Vector DBs

  • • Pinecone
  • • Weaviate
  • • Chroma
  • • FAISS

🔧 Frameworks

  • • LangChain
  • • LlamaIndex
  • • Custom pipelines
🖥️ Solutions On-Premise

Physical RAG: Your Data Stays With You

For businesses and tradespeople who want a 100% local, secure RAG solution with no cloud subscription

Mac Studio RAG Pro

💻
15-20K€
Complete turnkey solution

Hardware configuration:

  • • Mac Studio M2 Ultra (24 CPU cores, 76 GPU cores)
  • • 192 GB unified RAM
  • • 2-8 TB SSD
  • • Perfect for LLM models up to 70B parameters

What is included:

  • ✅ Apple hardware (Mac Studio)
  • ✅ Complete RAG system installation
  • ✅ Local LLM models (Llama, Mistral...)
  • ✅ Local vector database (Chroma/FAISS)
  • ✅ Custom web interface
  • ✅ Team training (2 days)
  • ✅ 6 months support
  • ✅ Updates included

💰 No cloud subscription • 🔒 100% local and secure • ⚡ Exceptional performance

Request Mac Studio quote

Mac Mini RAG Essential

🖥️
8-12K€
Compact and economical solution

Hardware configuration:

  • • Mac Mini M2 Pro (12 CPU cores, 19 GPU cores)
  • • 32-64 GB RAM
  • • 1-2 TB SSD
  • • Ideal for SMEs and tradespeople

What is included:

  • ✅ Apple hardware (Mac Mini)
  • ✅ RAG system installation
  • ✅ Optimized local LLM models
  • ✅ Local vector database
  • ✅ Simplified web interface
  • ✅ Training (1 day)
  • ✅ 3 months support

📦 Compact solution • 💡 Easy to use • 🚀 Quick deployment

Request Mac Mini quote

Custom tailored solutions

Have specific needs? We can also install your RAG system on:

🖥️
Linux Server
Ubuntu, Debian, RHEL
☁️
Private Cloud
AWS, Azure, GCP
🏢
NAS Enterprise
Synology, QNAP
🔧
Your hardware
Installation on existing
🔨

Perfect for tradespeople and SMEs

Un plombier, électricien ou menuisier peut avoir son propre assistant IA qui connaît TOUS ses devis passés, ses catalogues fournisseurs, ses procédures, ses clients... Le tout sans jamais envoyer de données sensibles dans le cloud.

📋 Example 1: Plumber

"Create a quote for a bathroom renovation like Mr. Dupont's in 2023"

⚡ Example 2: Electrician

"What materials did I use for the job at 15 Victor Hugo street?"

🪚 Example 3: Carpenter

"Remind me of the assembly procedure for model X sliding doors"

RAG Pricing

Solutions adapted to your volume and complexity

Starter

5-7K€
Setup + basic integration
  • Up to 1000 documents
  • 1 use case
  • 30 days support
  • Training incluse
Request a quote
⭐ RECOMMENDED

Business

10-15K€
Complete customized solution
  • Up to 10000 documents
  • Multiple use cases
  • 90 days support
  • Monthly maintenance included
  • Analytics & reporting
Request a quote

Enterprise

Custom quote
Complex & scale solutions
  • Unlimited volumes
  • Custom architecture
  • 24/7 priority support
  • Guaranteed SLA
  • On-premise deployment option
Contact us

+ Monthly maintenance: €500-2000/month depending on volume

All our projects include a satisfaction guarantee and personalized support

Ready to give your AI a memory?

Let's discuss your RAG project. Free 30-minute audit to evaluate your needs.