Retrieval-Augmented Generation. A technique that improves AI responses by first searching a knowledge base for relevant information, then feeding that context to the language model. Reduces hallucinations and keeps responses grounded in facts. The standard approach for building AI systems over private data.
A dense numerical representation of data (words, images, etc.
A database optimized for storing and searching high-dimensional vectors (embeddings).
Connecting an AI model's outputs to verified, factual information sources.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
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