技術

Retrieval-Augmented Generation (RAG)

定義

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.

例

Enterprise knowledge base chatbots
Customer support automation

関連用語

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.

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Retrieval-Augmented Generation (RAG)

定義

例

関連用語

Large Language Model (LLM)

Vector Database

Embedding

関連サービス

AIの理解にお困りですか？

Retrieval-Augmented Generation (RAG)

定義

例

関連用語

Large Language Model (LLM)

Vector Database

Embedding

関連サービス

AIの理解にお困りですか？