RAG development · Paris
RAG development services in Paris
GDPR-first, fully documented and hosted in the EU, with a senior team working your morning hours.
Clarigo Infotech builds retrieval-augmented generation (RAG) systems: AI search and assistants that find the right information in your documents, databases and knowledge base, then answer with sources. RAG keeps answers accurate and current without retraining a model, and respects who is allowed to see what.
French companies most often hire us for SaaS products, e-commerce platforms and GDPR-compliant AI.
10+
Years of delivery
600+
Projects delivered
20+
Countries served
25-30
Days to a live MVP
Get a free consultation
Tell us what you need. A senior engineer replies within one working day.
Privacy, quality and clear documentation
European teams tell us they want a partner who treats data protection and quality as the starting point, not an add-on. That is how we work.
GDPR by design
Data minimisation, consent, EU hosting and a signed data processing agreement before any personal data is touched.
Documentation you can audit
Written specifications, architecture notes, test reports and handover documents, so your team or auditors can follow every decision.
Accessible by default
Interfaces built to WCAG guidelines, helping you meet the European Accessibility Act for digital products and services.
Predictable contracts
Fixed scope and price, clear milestones and acceptance criteria, and full ownership of the code and IP.
What we build with RAG
Chat with your documents
Ask questions across PDFs, policies, manuals and contracts and get answers with citations.
Enterprise knowledge assistants
One place for staff to find answers across Google Drive, SharePoint, Confluence and more.
Customer support answers
Grounded answers for support teams and chatbots, drawn from your help centre and product data.
Search over structured data
Combine document search with SQL and APIs so answers include live numbers.
Permission-aware retrieval
Users only get answers from content they are allowed to see.
Evaluation and tuning
Test sets that measure retrieval and answer quality, and tuning until they pass.
How we approach RAG development
Why RAG instead of fine-tuning
Fine-tuning changes how a model writes; RAG changes what it knows at the moment it answers. For most business questions RAG is cheaper, easier to update and easier to audit, because every answer points to its source.
Getting retrieval right
Quality depends on how documents are cleaned, split, embedded and searched. We use hybrid search (keyword plus vector), re-ranking and metadata filters, and test retrieval separately from the final answer.
Keeping it current and secure
Connectors keep the index in sync as documents change, and access rules from your source systems are applied at query time so nobody sees what they shouldn't.
Measured, not guessed
We build a test set of real questions with expected answers and track accuracy, citation quality and 'I don't know' rates, so you can see improvement and catch regressions.
Remote, but close to Paris
Time-zone overlap
Central European and Indian working days overlap by three and a half to four and a half hours, so your team is online for stand-ups and calls every morning your time.
The GDPR and the French Data Protection Act (Loi Informatique et Libertés)
We design to the GDPR and CNIL guidance: data minimisation, consent, access controls, encryption, data hosted in France or the EU, and a data processing agreement signed before work starts.
Billing
Invoices in euros (EUR) or US dollars. Typical senior rates are $25 to $49 (USD) per hour, or a fixed price for a defined scope.
Built for Paris's key sectors
Paris startups and businesses use us for SaaS, e-commerce and AI products, built to the GDPR with interfaces in French and English.
Luxury and fashion
Maisons invest in premium e-commerce and clienteling. AI here usually means faster reporting, fewer manual steps and better customer replies.
Aerospace
Aircraft makers and suppliers need engineering and data software. We start with one costly process and automate it end to end.
Tourism and hospitality
Hotels and attractions compete for online bookings. We build AI agents, assistants and automation around these workflows.
AI startups
A growing AI scene creates demand for product engineering. AI here usually means faster reporting, fewer manual steps and better customer replies.
Your working day with us
Our team's hours, in Paris time
05:30–15:00
Monday to Friday
Overlap with your working day
09:00–15:00
About 6 hours every day
Daily stand-up
09:30
Paris time, plus written updates every evening
Local platforms and setup
Messaging channels
Languages
Local payments
Data hosting
AWS Europe (Paris), Google Cloud europe-west9 (Paris) and Azure France Central, in your own cloud account, so data stays where your rules require.
How it works
Week 1: discovery and design
We agree the use case, success measures and data, and show you a clickable design.
Weeks 2-3: build and integrate
We build, connect it to your systems and data, and demo working software every week.
Week 4: test and launch
We test with real cases, add monitoring and guardrails, then go live.
After launch: improve and scale
The same engineers keep tuning quality, cost and features as usage grows.
See what we've built
Try it yourself, free
Free browser tools from our team. No sign-up needed.
RAG development services: questions from Paris
Do you work with companies in Paris?+
Yes. Clarigo Infotech works with companies across Paris, including Paris, La Defense, Boulogne-Billancourt, as part of clients in 20+ countries. French companies most often hire us for SaaS products, e-commerce platforms and GDPR-compliant AI. We work remotely from India with one in-house team.
What time-zone overlap do we get from Paris?+
Central European and Indian working days overlap by three and a half to four and a half hours, so your team is online for stand-ups and calls every morning your time.
How do you handle the GDPR and the French Data Protection Act (Loi Informatique et Libertés)?+
We design to the GDPR and CNIL guidance: data minimisation, consent, access controls, encryption, data hosted in France or the EU, and a data processing agreement signed before work starts.
Which currency do you bill in, and what does it cost?+
We bill in euros (EUR) or US dollars. Senior engineers typically cost $25 to $49 (USD) per hour, and fixed-scope projects such as an MVP in 25 to 30 days are quoted after a free consultation.
Do you support WhatsApp?+
Yes. Customers in Paris often prefer WhatsApp and LinkedIn and Email, so we connect chatbots, notifications and support flows to them.
Do you work with luxury and fashion companies?+
Yes. Luxury and fashion is one of Paris's key sectors, and we build AI agents, assistants and automation around these workflows.
What time are your meetings in Paris time?+
Our team works 05:30–15:00 Paris time, so we overlap with your day from 09:00–15:00. Daily stand-ups are usually at 09:30 your time.
Will people see documents they shouldn't?+
No. We apply the same permissions as your source systems at query time, so each user only gets answers from content they can access.
How long does a RAG project take?+
A focused RAG assistant over one set of sources typically goes live in 25 to 30 days, including a test set to measure quality.
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