4 articles tagged #embeddings.
Dense vector representations that capture the semantic meaning of text, images, or other data in a numerical space where proximity reflects conceptual similarity.
Architectural pattern that combines information retrieval from external sources with LLM text generation, reducing hallucinations and keeping knowledge current without retraining the model.
Information retrieval technique that uses vector embeddings to find results by meaning, not just exact keyword matching.
Storage systems specialized in indexing and searching high-dimensional vectors efficiently, enabling semantic search and RAG applications at scale.