Query your data

Thanks to conversational AI, the future of productivity is now within reach.

Explore advanced AI that uses your data to provide you with accurate answers. With Retrieval-Augmented Generation (RAG), transform your approach to AI and boost your business. Strat37 is with you every step of the way.

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Discover our Retrieval-Augmented Generation (RAG) service

01

Analysis and diagnosis of your needs

We start with a detailed analysis of your specific needs. This step involves understanding your goals, target audience, and current communication and information management challenges. We identify relevant use cases to maximize the impact of RAG technology in your organization.

02

Design and development of your RAG

Based on our analysis, we design and develop a tailor-made RAG solution. This includes selecting relevant external and internal data sources, implementing information retrieval, augmenting data, and optimizing text generation models to ensure accurate and contextual responses. We ensure that the solution is perfectly adapted to your specific needs and the constraints of your sector.

03

Test and validation phase

Before full deployment, we conduct extensive testing to ensure that the solution fully meets your expectations. This includes simulating user queries, making adjustments based on the results obtained, and validating the accuracy and relevance of the responses generated.

04

Deployment and training

Once the solution is validated, we proceed to deploy it in your operational environment. We also train your teams to ensure optimal use of RAG technology and so that they can fully exploit its capabilities.

05

Follow-up and continuous improvement

Our service doesn't end with deployment. We offer continuous monitoring to verify performance, gather feedback and make improvements if necessary. We ensure that the solution evolves with your needs and remains at the cutting edge of technology.

06

Examples of how to use RAG

Retrieval-Augmented Generation (RAG) is revolutionizing various business sectors. It allows technology firms to monitor the launches of competing products in real time to quickly adjust their strategies. In finance, it helps investors filter and analyze massive data to detect trends and optimize portfolios. In human resources, it automates the sorting of applications, speeding up recruitment and improving the quality of hires. For customer support, it provides personalized responses instantly, improving the user experience and reducing team workload. These uses illustrate how RAG boosts business efficiency and innovation.

Our references
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