Artificial Intelligence

LLM, RAG and vector databases (OpenAI, Gemini) – without bespoke ML training

Artificial intelligence transforms the way we operate. We deploy AI solutions adapted to your business challenges.

Our AI Expertise

RAG architectures anchoring LLM responses in your content. Ingestion, chunking, embeddings, indexation and relevant retrieval.

Embeddings (OpenAI, open-source), vector storage (pgvector, Qdrant/Weaviate), citations, filters, and guardrails (safety, privacy).

LLM orchestration (function calling, tools, structured outputs), robust prompts, controlled costs/latencies. No bespoke ML training.

Governance, caching, monitoring, retries/timeouts/fallbacks. Guaranteed compliance and privacy.

Design of LLM assistants connected to your data via RAG. Support, internal search, lead qualification, automation.

Multilingual, contextual, integrated (CRM, helpdesk). Minimal logging and “ephemeral keys” when possible.

Local models (Llama) for sensitive cases (Ollama/llama.cpp, GPU/CPU). Selection, quantization, optimization.

Observability (costs, tokens, latencies, quality), guardrails and continuous evaluation. AI workflow orchestration.

Pan-African Digital Hub

LLM assistants connected to content via RAG, semantic search and needs-based journeys.

Financial Platform

RAG oriented towards financial data and FAQ, content vectorization and sourced responses.

Health Digital Ecosystem

Vector database and assistants for multi-portal information search (UM6SS, institutions).

Découvrez nos autres expertises complémentaires.