AI & GenAI Engineering
RAG - Retrieval Augmented Generation
Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by grounding their responses in external knowledge sources. This prevents hallucinations and allows LLMs to access up-to-date and domain-specific information crucial for real-world applications.
Retrieval-Augmented Generation (RAG)Knowledge BaseIndexingSemantic RetrievalEmbedding ModelsLarge Language Models (LLMs)HallucinationsPrompt Engineering
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RAG - Retrieval Augmented Generation - System Design Diagram
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