Glossary Category
Retrieval-Augmented Generation & Vector Search
RAG and retrieval terms explain how foundation models overcome context limits and knowledge cutoff dates. This category links embedding generation (vector search) and relational indexing (pgvector) to hybrid dense-sparse retrieval, insulating enterprise models against hallucinations.
Category Terms Directory
2 Terms Defined Retrieval-Augmented Generation (RAG)
An architecture combining vector similarity search with LLMs to query enterprise knowledge bases.
Vector Database
High-performance database indexing high-dimensional vector embeddings for fast similarity search.
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