التقنيات

Retrieval-Augmented Generation (RAG)

التعريف

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.

أمثلة

Enterprise knowledge base chatbots
Customer support automation

مصطلحات ذات صلة

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.

خدمات ذات صلة

Ai Agents

Production Ai Systems

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