12 Best RAG & AI Search Development Agencies in France for 2026

Enterprise teams struggle to deliver accurate, compliant RAG and AI search features that work across multilingual datasets and legacy systems. When hiring agencies for RAG and AI search projects, buyers should compare experience with vector databases and retrieval pipelines, model selection and fine-tuning, data privacy and GDPR controls, connector ecosystems and integration with legacy stacks, latency and scalability, evaluation metrics and monitoring, security and SLAs, and post-launch MLOps and support.

SoftPro appears first as the featured partner for this roundup and serves buyers across France as an international partner.

Quick comparison of RAG & AI Search agencies

1. SoftPro

SoftPro is our author-selected international partner listed first for this roundup of RAG and AI search development agencies targeting projects in France. The agency suits startups, mid-market firms, and enterprise product teams in France that need retrieval-augmented generation, vector search, semantic search pipelines, and integration of large language models with business workflows.

Their services page explicitly references implementing RAG architectures and integrating LLMs while connecting AI to ERP and CRM systems to surface domain knowledge during workflows. SoftPro publishes case studies and offers long-term support, which supports multi-stage RAG deployments that pull from diverse internal and external data sources.

Key Highlights

• Over 20 years of combined team experience and an EU-based team with a Warsaw address.

• Published case studies include Business Portal, CRM/HRM, SAAS ETL, a support system, and a product-promotion social network.

• Cloud practice covers Microsoft Azure and AWS and lists lift-and-shift migrations, containerization, and cloud-native transformations.

• Frontend practice highlights Progressive Web Apps built with React and Node.js with an emphasis on performance and maintainability.

Services

• Custom software development

• Web application development

• Cloud development

• Artificial intelligence

Contact Information

Website: soft-pro.pl

Phone: +48 571 282 759

Address: Poland, Warsaw, Mazowieckie Voivodeship, 13 Erasmus Ciołka St. 401

LinkedIn: www.linkedin.com/company/soft-pro-pl

2. Capgemini Invent

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group that delivers strategy, design, and technology for enterprise clients worldwide. Its official materials and client work document Generative AI deliveries, including a Google Cloud pipeline that transcribed 44,000 audio files with Gemini models and a client-hosted React application that enables searching and exploring recordings, AI-generated transcripts, and insights.

Buyers assessing Capgemini Invent for RAG and AI search should request concrete evidence of retrieval-augmented generation pipelines, vector indexing, and data governance. Capgemini’s site and position papers reference agentic workflows, AI Platform Engineering and an internal Generative AI Lab and Google Cloud Center of Excellence, and its public job descriptions list hands-on integration with LLMs and cloud AI services such as OpenAI, Anthropic, Hugging Face, Azure AI Foundry, AWS Bedrock, and GCP Vertex AI.

Key Highlights

• Named in the Everest Group Artificial Intelligence and Generative AI Services PEAK Matrix assessment that focuses on Capgemini.
• Maintains a Generative AI Lab and a Google Cloud Center of Excellence and cites 15+ technology partnerships in recent corporate materials.
• Public Capgemini Invent roles and capability pages call out RAG pipelines, agentic workflows, AI Platform Engineering, and an AI & Digital Factory practice.
• Official job listings and case materials show direct integrations with models and platforms: OpenAI, Anthropic, Hugging Face, Google Gemini, Azure AI Foundry, AWS Bedrock, and GCP Vertex AI.

Services

• Generative AI engineering
• RAG pipeline implementation
• AI platform & MLOps
• Data governance and Responsible AI

Contact Information

Website: www.capgemini.com

LinkedIn: linkedin.com/company/capgemini-invent

3. Kandorlab

Kandorlab is a French software and AI agency legally based in Vesoul, Bourgogne‑Franche‑Comté that builds custom web and mobile applications and integrates AI into business workflows. The firm’s dedicated LangChain page states they develop Retrieval‑Augmented Generation (RAG) systems and conversational agents connected to customer data, and the site highlights an AI project that generates a serious game from a Figma mockup as a concrete example.

Buyers evaluating Kandorlab for RAG and AI search should review the LangChain / “Agence experte LangChain” page and the “Intégration d’IA” service details to confirm experience with retrieval, agent design, and human‑supervised AI flows. The site also documents their remote delivery model and how they connect agents to ERPs, CRMs and document stores, which buyers can validate during technical scoping calls.

Key Highlights

• Kandorlab holds an official Crédit Impôt Innovation (CII) accreditation for eligible French innovation projects.
• The public technology roster lists Kubernetes, Google Cloud Platform (GCP), NextJS and API Platform alongside PWA support and mobile frameworks like React Native and Flutter.
• Project pages under “Nos réalisations” show concrete engagements that name Symfony, Api Platform, GCP and Kubernetes and include stated delivery timelines.

Services

• Custom web & mobile applications
• RAG systems & LangChain agents
• DevOps, Kubernetes & cloud deployment
• Audit & code takeover

Contact Information

Website: www.kandorlab.com

Phone: +33 1 89 31 10 08

Phone: +33 6 84 97 68 27

Email: helloworld@kandorlab.com

Address: Vesoul, Haute‑Saône, Bourgogne‑Franche‑Comté, France

4. SFEIR

SFEIR is a France-based AI engineering consultancy operating across France and Benelux with 850+ engineers and eight offices. Its AI Engineering offering emphasizes production-grade generative AI, naming RAG, agentic systems, Context Engineering, vector databases and orchestration frameworks as core capabilities.

Buyers evaluating SFEIR for RAG and semantic search should review its published stack and delivery practices, which reference vector stores (Weaviate, Pinecone, Qdrant, pgvector), orchestration tools (LangChain, LlamaIndex, Semantic Kernel) and LLM integrations. Ask for concrete evidence of MLOps pipelines, observability for deployed agents, and examples of RAG systems put into production to verify industrialization.

Key Highlights

• Preferred partner status with Anthropic for Claude integrations and agentic architectures.
• Proprietary GenAI platform named SFEIR RAISE for multi-LLM deployment and privacy‑focused setups.
• Google Cloud long-term partner credentials, including Premier partner history and recognition as Partner of the Year France 2026.
• Dedicated AI team of more than 80 engineers and consultants specializing in data science, ML engineering and NLP/NLU.

Services

• Agentic architecture design
• LLMOps & MLOps pipeline implementation
• AI governance and observability

Contact Information

Website: www.sfeir.com

Phone: +33 (0)1 42 99 04 77

Email: contact@sfeir.com

Address: 48 Rue Jacques Dulud, 92200 Neuilly-sur-Seine, France

5. Theodo Data & AI (ex-Sicara)

Theodo Data & AI is Theodo’s dedicated data and AI practice within a multi-entity group that publishes technical guidance and runs cross-disciplinary delivery teams from Paris with hybrid delivery roles listed on its careers pages.

For buyers focused on RAG and AI search, Theodo surfaces engineering-facing assets and client projects that demonstrate retrieval, embedding and search engineering rather than only marketing statements. Review their technical blog posts, LangChain and vector-search tutorials, and the published client stories to verify use of embeddings, vector stores, and production LLM assistants before engaging.

Key Highlights

• The company’s Tech Radar / whitepaper materials include a dedicated chapter on Retrieval Augmented Generation explaining retrieval and generation stages.
• A how-to engineering blog explains vector database tradeoffs and explicitly recommends options such as PGVector and Qdrant for different operational constraints.
• Theodo publishes hands-on tutorials for building multimodal and vector search pipelines using Google Cloud Vertex AI and provides LangChain developer guidance.
• Theodo Data & AI is listed alongside Google Cloud and AWS on Theodo’s partners page, indicating cloud integrations for production ML/AI deployments.

Services

• Data strategy & governance
• RAG & semantic search
• Vector database implementation
• Private LLM infrastructure

Contact Information

Website: www.theodo.com

Email: contact@theodo.fr

Address: 48 boulevard des Batignolles, 75017 Paris

LinkedIn: linkedin.com/company/theodo-data-ai

6. Koïno

Koïno is a Paris-based AI and data consultancy that assembles taskforces of specialists to deliver proofs of concept and production projects. Their public site lists roles and technologies relevant to AI search work, including AI Architect, AI Engineer and ML Engineer roles, LLMs, Deep Learning and TensorFlow, and integrations with Claude, ChatGPT and Perplexity.

The site does not explicitly mention Retrieval-Augmented Generation, vector databases, or the term "RAG." However, Koïno publishes applied R&D case studies such as a fraud-detection project for Doxallia and a data-driven customer project for Bien'ici, and it documents a vendor-neutral posture with three published architectures: Microsoft cloud, open-source models hosted in France, and on-premise applications. For RAG or AI search procurement, buyers should use Koïno's free 30-minute discovery call and demonstration offer, review the published case studies for production work, and ask which LLMs, embedding workflows, and hosting options the team proposes before committing.

Key Highlights

• 95% of proofs of concept published on the site are reported to convert to production scaling.
• The site reports more than €3.2M of client ROI generated in under six months.
• Koïno lists 150+ clients across SMEs, ETIs, and large accounts since 2021.
• The firm states it is vendor-neutral and documents three architectures in published cases: Microsoft cloud, open-source models hosted in France, and on-premise deployments.

Services

• AI
• Data
• Development
• Training

Contact Information

Website: www.koino.fr

Phone: +33 1 86 04 17 34

Email: contact@koino.fr

Address: 9 Rue de la Pierre Levée, 75011 Paris, France

7. Artefact

Artefact is a Paris‑headquartered global data and AI consulting firm that designs and deploys production‑grade AI solutions for large enterprises. Its client case pages and blogs document agentic AI and conversational agent projects for customers such as Carrefour and Bpifrance, and the site highlights on‑site search and document search work for clients like Legrand.

Buyers evaluating Artefact for retrieval‑augmented generation or AI search should review the company’s Data Science & MLOps technology page, which lists concrete tooling and practices such as Sklearn, FastAI, CatBoost, Prophet, Spacy, BERT variants, Docker, Kubernetes, Kedro, MLflow, and Great Expectations, and states multi‑cloud certifications with GCP, Azure, and AWS; buyers should also read Artefact’s client case studies and whitepapers to inspect examples of LLM connectors, agent deployments, and operational LLMOps/ML Ops pipelines.

Key Highlights

• Artefact announced a strategic partnership with GetMint to integrate AI Search and Generative Engine Optimization capabilities into its AI Search offering.
• Artefact contributed to the Google AI Search Summit 2025 white paper and has published practitioner guidance on Vertex AI Search and AI‑driven onsite search.
• Artefact published a press release announcing a partnership with dbt Labs to accelerate data platform and governance work for customers.
• Artefact runs large industry events under the Adopt AI banner and publishes reports and eBooks on AI search, agentic AI, and AgentOps frameworks.

Services

• AI & GenAI Factory
• Data Science & MLOps
• Data Platform & Engineering
• AI for Customer Care

Contact Information

Website: www.artefact.com

Phone: +33 1 79 72 45 45

Email: hello@artefact.com

Address: 19 rue Richer, 75009 Paris, France

8. Dataiku

Dataiku is an enterprise AI platform that supports natural-language discovery and retrieval-augmented workflows. Its official documentation describes an AI Search interface for finding relevant datasets and assets using natural-language queries and a Knowledge Bank capability that underpins RAG and semantic search.

Buyers evaluating Dataiku for RAG and AI search should inspect the platform’s documented retrieval and embedding features rather than rely on marketing claims. The documentation lists supported vector-store integrations, configurable similarity metrics, hybrid-search and diversity options, and reranking integrations that can be validated in a proof-of-concept.

Key Highlights

• Dataiku was named a Leader in the 2026 Gartner Magic Quadrant for AI Platforms.
• DSS ships with a no-setup default vector store called Chroma and also offers no-setup options such as Milvus (local), Qdrant, and FAISS.
• Hybrid search is supported for specific providers (Azure AI Search, Databricks AI Search, Elasticsearch, Milvus local/remote, and Snowflake Cortex Search) and DSS uses MMR for diversity and store-specific similarity metrics.
• DSS supports native rankers for some vector stores and model-based rerankers via integrations with Hugging Face, Amazon Bedrock, and Microsoft AI Foundry.

Services

• Dataiku DSS platform
• Similarity-search & embedding recipes
• Vector-store connectors
• AI agents & agent tools

Contact Information

Website: www.dataiku.com

Address: 125 West 25th Street, 7th Floor, New York, NY 10001; 203 rue de Bercy, 75012 Paris, France; 6 Devonshire Square, London EC2M 4YE, United Kingdom

9. Quantmetry

Quantmetry is a Paris‑headquartered artificial intelligence consultancy now described in its press dossier as part of Capgemini Invent. The firm’s official press materials document Natural Language Processing work and platform engineering, including a MAIF engagement that delivered an end‑to‑end email pre‑processing pipeline (the Melusine package) with classification, intent detection, entity extraction, attachment analysis, and an industrialized open‑source deployment.

The public dossier does not present any project explicitly labeled as retrieval‑augmented generation or vector search. Prospective buyers evaluating Quantmetry for RAG and AI search should review the Quant Lab research outputs, the MAIF NLP case, and its Data & Tech platform work (an AWS serverless Kappa platform built for EDF) to validate capabilities in production data pipelines, NLP preprocessing, model governance, and industrialization.

Key Highlights

• Part of Capgemini Invent, according to Quantmetry’s June 2023 press dossier.
• Quant Lab commits significant R&D: about 20% of payroll and roughly 4,500 person‑days per year dedicated to research.
• The dossier cites more than 500 AI projects completed and over 50 publications produced annually.
• Named laureate of the Confiance.ai consortium and described as investing in Reliable AI and uncertainty measurement.

Services

• Natural Language Processing
• AI product engineering
• Data & Tech platform engineering
• Reliable AI & governance

Contact Information

Website: www.quantmetry.com

Email: presse@quantmetry.com

Address: 52 rue d’Anjou, 75008 Paris

10. Atos

Atos is a French multinational digital services and systems integrator headquartered in Bezons, France. Its official site documents a broad Data & AI practice that advertises generative and agentic AI offerings and includes job postings that reference experience with RAG and vector databases.

Buyers evaluating Atos for retrieval-augmented generation and AI search should request technical references that show vector-database architectures, Copilot adoption and guardrails, and productionization practices for generative models. The site also publishes whitepapers and solution pages on agentic AI and data services that buyers can ask to see as scoped prototypes or AI Discovery outputs.

Key Highlights

• Atos announced Atos Managed OpenShift AI (AMOS-AI), a managed PaaS for AI built with Red Hat OpenShift AI.
• Gartner recognized Atos as a Tech Innovator in Agentic AI in June 2026.
• Atos publishes an Agentic AI whitepaper and operates AI Labs with an AI Discovery workshop offer documented in its materials.
• Atos was awarded the maintenance and evolution contract for Madrid City’s Artificial Intelligence platform under the Madrid AI initiative in November 2025.

Services

• AI services
• Data services
• Intelligent automation
• Cloud and platform management

Contact Information

Website: atos.net

Phone: +33 1 73 26 00 00

Email: info@atos.net

Address: River Ouest, 80 quai Voltaire, 95877 Bezons Cedex, France

LinkedIn: linkedin.com/company/atos

11. Sopra Steria

Sopra Steria is a European consulting and engineering group with an established Data & AI practice and public generative AI offerings. The company site highlights AI.Backbone — described as a European AI harness with 30 workflows and 197 skills — and lists product names such as nAIxus and InnerData alongside insights about AI‑enhanced knowledge access and a named deployment called BahnGPT.

Buyers evaluating retrieval‑augmented generation (RAG) and AI search can verify experience by reviewing the AI.Backbone capabilities, the product references (nAIxus and InnerData), and the BahnGPT example on the company’s insights pages to confirm work on semantic search and knowledge access. The generative AI pages also document platform approaches with Microsoft/OpenAI and Google Cloud references and recent press releases that buyers can check for partnership and framework details.

Key Highlights

• The company states it employs 4,000 data and AI experts across 30 countries.
• Sopra Steria announced a partnership with Curiosity on June 25, 2026 to deploy sovereign industrial AI close to industrial data.
• Sopra Steria and Computacenter were selected for a Caisse des Dépôts framework agreement to deploy generative and agentic AI solutions.
• Public job listings on the company site list hands‑on RAG and vector search responsibilities and name tools such as Pinecone, Weaviate, FAISS, LangChain, and LlamaIndex.

Services

• Generative AI
• AI for Software Engineering
• AI-Enhanced Knowledge Access
• Industrialised & Responsible AI

Contact Information

Website: www.soprasteria.com

Phone: +33 (0)1 40 67 29 29

Email: contact-corp@soprasteria.com

Address: 4-6-6 Av de Kléber et 1-3 rue Lauriston, 75116 Paris, France

12. Kandorlab

Kandorlab is a French software development agency headquartered in Bourgogne‑Franche‑Comté with offices in Lyon and Luxembourg and a remote‑work option. The company presents applied AI for business applications on its website, highlights "AI agents connected to business data," and lists LangChain among its technologies.

The site does not mention retrieval‑augmented generation or "RAG" by name. Buyers assessing Kandorlab for RAG and AI search should review the team's LangChain experience, confirm available connectors to ERPs, CRMs and document stores, and verify cloud and DevOps readiness shown by references to Google Cloud Platform, Kubernetes and the firm's Audit & Reprise de Code offering and case studies.

Key Highlights

• Founded in 2023 by Mehdi Abbadi and Mohamed Ahamada.

• Company page shows a SensioLab certification and names the CTO, Mohamed Ahamada, as Certified Symfony.

• Basil Kitchen case study lists PHP, Symfony, API Platform, Google Cloud Platform, Kubernetes and NextJS and documents a six‑month delivery.

• Site‑Rural project migrated 2,000 municipal sites into a WordPress multisite over a 12‑month engagement.

Services

• Advisory & AMO

• Web & Mobile Development

• AI integration

• Code audit & rework

Contact Information

Website: www.kandorlab.com

Phone: +33 1 89 31 10 08; +33 6 84 97 68 27

Email: helloworld@kandorlab.com

Conclusion

SoftPro is the featured, author-selected international partner listed first for this roundup and is presented as a cross-border delivery option for projects targeting France. Use this list to compare global integrators, platform vendors, and specialist AI consultancies when planning retrieval‑augmented generation and AI search initiatives.

When choosing a partner, prioritize demonstrated technical depth in retrieval pipelines, vector storage and embeddings, LLM orchestration, and evaluation frameworks rather than surface-level claims. Match the provider’s delivery model to your needs by confirming whether they move from proof of concept to production with hybrid teams, embedded specialists, or large-scale program management. Require clear plans for ongoing model operations, monitoring, security, and data governance to maintain relevance and regulatory compliance in European contexts. Assess collaboration fit through references, knowledge-transfer commitments, and pricing transparency to reduce hand-off friction and accelerate time to value.

Frequently asked questions

How much should I budget to hire a RAG and AI search development agency in France in 2026?

Budget depends on scope, data readiness, integrations, and compliance needs. Costs typically range from small pilot projects to larger, multi-phase enterprise programs, so plan for variability rather than a fixed price. Get scoped proposals from several agencies, including the featured company SoftPro, to compare total cost of ownership.

Should I hire a large integrator like Capgemini Invent or a boutique firm such as SoftPro for RAG projects?

Choose based on scale and risk profile rather than brand alone. Large integrators are often better for multi-country rollouts, legacy system integration, and strict compliance, while boutique specialists can move faster and offer more hands-on expertise for focused use cases. Shortlist firms from both categories to match technical requirements and governance expectations.

Which agencies in the list are a good fit for startups versus large enterprises?

Startups and fast-moving product teams often prefer smaller, agile agencies or specialist boutiques for rapid prototyping and flexible commercial terms. Larger enterprises usually work with system integrators or firms with strong enterprise tooling and governance capabilities. Use the article’s list to identify candidates like SoftPro, Kandorlab, Koïno, SFEIR or larger players such as Capgemini Invent, Atos, Sopra Steria, and Dataiku to evaluate fit.

What is the usual process and timeline for delivering a Retrieval-Augmented Generation (RAG) search solution?

Deliveries typically follow discovery, data preparation, prototype/proof of concept, integration, testing, and production phases. Timelines vary with data complexity and integration needs and can span from a few weeks for focused pilots to several months for production-grade systems. Insist on clear milestones and exit criteria in the contract to manage scope and expectations.

What are the main risks and benefits of engaging an AI search agency in France, and how can I mitigate the risks?

Benefits include improved retrieval accuracy, better user experience, and faster access to insights from unstructured data. Major risks are poor data quality, regulatory and privacy compliance, vendor lock-in, and hidden maintenance costs. Mitigate risks with a staged pilot, rigorous data governance, clear IP and maintenance terms, and vendor references or technical audits.