Published on 04/24/25

AI architecture: the key to a scalable, high-performance project

Arthur Guillermin Hazan

8 minutes

In the coming world, where AI Agents will be able to empower and automate certain tasks, we believe it's vital to ask ourselves how they are built, deployed and run. Because, far beyond simple intelligent chatbots, we're preparing to develop SaaS tools, software factories and even ultra-customized AI sites.

At ARNEO, we're convinced that the success of an artificial intelligence project depends on a solid foundation and an open source approach . This is nothing new, and applies to all digital projects, AI or not.

But wait, is the article over already? Not so fast! We have a few tips to share from our recent explorations and projects.

Let us explain how to build scalable solutions using language models, on a solid infrastructure.

AI architecture: more than just a technical structure

When you think of AI architecture, you might think of a set of complex diagrams and technical jargon. Spoiler, it's true! But let's put it into layman's terms. Imagine constructing a building. First, you carry out a site survey, determine the right materials, draw up solid plans and check every stage of construction, to ensure that in the end, the completed building meets all the criteria / standards / specifications. Each micro-link or small element has its place and role, contributing to a harmonious and functional whole. Well, the choice of technical architecture is the same thing. It's the functional foundation of a digital project.

Why is a good architecture crucial?

Business flexibility: Your AI-powered business tool must fit your business like a glove. It must evolve with your processes, acting as a virtual assistant that fully understands your needs.
Optimal performance: A well thought-out architecture ensures that your system responds efficiently, even under increased load.
Cost control: An optimized AI architecture from the outset avoids unnecessary expenditure in the long term.

(Ever heard of the famous "black box" created by AI? That grey area where the language model does a bit of what it wants? Well, we're trying to open the hood and get a better grasp of what's going on inside).

Nicolas Gras, our Fullstack AI Engineer at ARNEO, points out:

A well-designed AI architecture is essential for navigating the complexities of artificial intelligence projects. It enables us not only to achieve our objectives, but also to adapt to unforeseen challenges with agility and efficiency.

Nicolas Gras

Fullstack AI Engineer

The 4 pillars of a successful AI infrastructure: our ARNEO approach

1. Application: How AI integrates with your business logic

The applicative represents the business logic of your AI tool. Whether it's an AI agent with specific instructions or a chatbot answering targeted questions, this component is essential for making sense of your data and deriving relevant insights.

The application interacts with your data, which it retrieves using various techniques:

RAG (Retrieval Augmented Generation)
CAG (Cached Augmented Generation)
MCP (Model Context Protocol)

Our preferred application frameworks and tools :

LangChain
CrewAI
LangGraph
AI SDK
AutoGen
Smolagent

2. Observability: Monitor and optimize your AI's performance

Observability is essential to ensure the smooth operation and ongoing optimization of your AI system. It enables you to monitor how the LLM (Large Language Model) processes information, and to detect potential errors or biases.

It also enables you to aggregate, classify and score the data produced by the LLM. This data is useful for creating synthetic datasets and refining the model to respond in a more relevant way.

Observability also integrates user feedback via simple interfaces such as rating systems (thumbs up/down, stars, free fields). This feedback is directly integrated into the response evaluation processes, and is used to enrich model training to make them more accurate and aligned with user expectations.

Our tool of choice: Langfuse

3. Routing: Choosing the right model at the right time

Routing dynamically selects the best LLM model for the task in hand. This approach takes into account different LLM providers (cloud or self-hosted) to find the most suitable model for each situation.

The aim is to find the best compromise between performance and cost, using specialized models for simple tasks and more powerful models for complex issues.

Our tool of choice: LiteLLM

4. Security: We don't mess with your data!

But security also means anticipating and preventing the risk of hallucinations, a phenomenon where the model generates incorrect or irrelevant information. To this end, we implement rigorous verification mechanisms to detect and correct these errors before they affect the results.

Another crucial aspect of security is preventing the leakage of personal data. We ensure that sensitive data is protected and not exposed in the datasets used for training or model optimization. This involves setting up robust security barriers and strict protocols for data handling.

It also means choosing sourced providers and datacenters hosted in Europe (mainly France), thus guaranteeing better control of data flows and strict compliance with local data protection regulations.

By integrating these security measures, we guarantee not only the reliability and accuracy of AI-generated answers, but also the protection of sensitive information, reinforcing the confidence of users and stakeholders in our solutions.

Our tool of choice: LLM Guard

By integrating these security measures, we guarantee the reliability and accuracy of the answers generated, while protecting sensitive information.

Conclusion: Your AI project deserves a solid, well thought-out and scalable architecture.

A well-designed AI architecture is the foundation for the success of your artificial intelligence projects. At ARNEO, we don't just follow trends, we anticipate them to offer you future-proof solutions designed by intelligent humans.

Do you have an AI project in mind? Would you like to optimize an existing solution? Our experts are here to guide you to success. Contact ARNEO today and let's get to work on bringing your AI projects~~to life~~!

According to my analysis

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