Techniques

Retrieval-Augmented Generation (RAG)

Définition

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.

Exemples

Enterprise knowledge base chatbots
Customer support automation

Termes Connexes

Large Language Model (LLM)

AI models trained on vast amounts of text data that can understand and generate human-like text. Examples include GPT-4, Claude, and Llama. LLMs power modern chatbots, content generation, and code assistance tools.

Vector Database

A specialized database designed to store and efficiently search high-dimensional vectors (embeddings). Vector databases are essential for RAG systems, similarity search, and recommendation engines.

Embedding

A numerical representation of data (text, images, etc.) in a multi-dimensional vector space. Embeddings capture semantic meaning, allowing similar concepts to be mathematically close together.

Services Connexes

Ai Agents

Production Ai Systems

Besoin d'Aide pour Comprendre l'IA?

Réservez une consultation pour discuter de l'application des concepts IA à vos défis.