Retrieval Augmented Generation (RAG)

Retrieval Augmented Generation, aka RAG, is a technique used in artificial intelligence, especially in large language models, to improve the accuracy and relevance of generated responses.

RAG is widely used in chatbots, search engines, and knowledge management systems to provide better, more reliable answers.

Documentation

See Also

• Building a RAG (Retrieval-Augmented Generation) system in PHP with Neuron AI
• Implementing Retrieval Augmented Generation (RAG)

Related

• Vector Database
• Large Language Model (LLM)
• Model Context Protocol (MCP)
• Artificial Intelligence (AI)

Related packages

• mzarnecki/php-rag