A technique where an AI model looks up relevant information from a database before generating its answer. Combines a search index (vector database, full-text, or hybrid) with a language model. The most common pattern for grounding agents in private data.
Related terms
Embedding
A numerical representation of text (or images, audio, etc.) as a vector — a long list of numbers — capturing semantic meaning. ...
Grounding
Connecting an AI model's responses to real, verifiable information instead of letting it generate from training data alone. Don...
Vector Database
A database optimized for storing and searching embeddings. Lets agents find "the most semantically similar document" in millise...
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