Techniques

Knowledge Graph

Définition

A structured representation of facts as entities and their relationships, enabling machines to reason about complex, interconnected information. Knowledge graphs complement LLMs in enterprise settings by providing verifiable, traceable facts that reduce hallucination.

Termes Connexes

Retrieval-Augmented Generation (RAG)

A technique that enhances LLM responses by retrieving relevant information from external knowledge sources before generating a response. RAG improves accuracy, reduces hallucinations, and enables LLMs to access up-to-date information without retraining.

Semantic Search

A search approach that retrieves results based on the meaning and intent of a query rather than exact keyword matches. Semantic search is powered by embeddings and vector databases, enabling far more relevant enterprise knowledge retrieval.

Explainability (XAI)

The ability to understand and explain how an AI model reaches its decisions. Explainable AI is a mandatory requirement for high-risk AI systems under the EU AI Act and is critical for building trust with regulators, auditors, and end users.

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