Embedding & Knowledge graph: Semantic search at your service

I design and deploy semantic search based on embeddings and knowledge graphsWe're here to help you turn your data into strategic leverage.

Each project is designed to be modular, explainable and scalableto integrate seamlessly into your technical environments and meet your specific business needs.

Vector representation (Embeddings)

Transformation of your textual, visual or relational data into semantic vectors to enable :

  • Search by similarity of meaning (beyond keywords).
  • Improving recommendation systems.
  • Pipeline optimization for Retrieval-Augmented Generation (RAG).

Knowledge graph construction

Model your data as network of entities and relationships :

  • Definition of ontologies and business schemas.
  • Automatic entity and relationship extraction via NLP/LLM.
  • Storage and querying in graph-oriented databases (Neo4j, GraphDB, Amazon Neptune).

Hybrid and semantic search

Combination of vector embeddings and knowledge graphs as a gift :

  • More relevant, contextual search.
  • Answers that can be explained and traced.
  • Better use of your unstructured and structured data.

Frameworks and advanced technologies

Using the best tools on the market :

  • Hugging Face Transformers, PyTorch, TensorFlow for embeddings.
  • Neo4j, SPARQL, Cypher for knowledge graphs.
  • Elasticsearch and Qudrant for vector research.

This approach enables me to deliver reliable, comprehensible and production-ready semantic searcheswhile remaining aligned with your strategic objectives.

My expertise

AI development - Custom architecture, integration and performance

AI Development

Creation of intelligent architectures, APIs, conversational agents, recommendation systems

Language Models (LLM) - Automate, understand and generate with precision

Language models (LLM & NLP)

Integration of models such as GPT, LLaMA, Mistral, Claude, etc. into business workflows

Neural networks - Adapted architectures for complex problems

machine / deep learning

Design and creation of deep learning models (CNN, RNN, Transformers) & machine learning (Random Forest, Scikit-Learn) for complex cases

Fine-tuning - Adapting AI models to your business data

Fine-tuning

Adaptation of pre-trained models to specific corpora, supervised or reinforcement training

Embedding & Knowledge graph: Semantic search at your service

Embedding & Knowledge graph

Give your data a new dimension with embeddings, knowledge graphs and semantic search

RAG - Generation augmented by documentary research

Retrieval-Augmented Generation (RAG)

Combining documentary research and generation for precise, contextualized answers

Tailor-made Edge AI - real-time AI optimized for you

Edge AI

Design and deployment of modular, secure local AI architectures capable of processing data directly on the device

MLOps & Deployment - Industrialize and secure your AI models

Deployment & MLOps

Containerization, CI/CD, monitoring, scalability, load-balancing, cost optimization

AI Cybersecurity: Guardrails, Sanitization, Proxies and Protection

Cybersecurity AI

Secure your AI systems with guardrails, sanitization, proxies and prevention