40 Days Training on RAG

Retrieval-Augmented Generation (RAG) is a technique that enhances large language models by integrating external data sources, improving their accuracy and context-specific knowledge. This matters to developers as it allows for more precise and reliable responses from AI systems in specific domains like company policies or HR documentation. Developers should watch for advancements in vector databases and nearest neighbor search algorithms to further improve RAG's effectiveness.

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