Knowledge Graph — Coursera Notes › Academic disciplines › Computer Science / Information Technology › Artificial Intelligence › Generative AI › Retrieval-Augmented Generation
Vector similarity search
concept · part of Retrieval-Augmented Generation
The typical mechanism for retrieval in RAG, using embedding-based search rather than keyword lookup.
Inside Vector similarity search (1)
- embedding — An embedding is a dense vector representation of data, used in vector similarity search.
Connections
- Used for Retrieval-Augmented Generation
- Related to RAG pipeline
- Related to Retrieval-Augmented Generation
This is the text view of an interactive 3D knowledge graph — open this page with JavaScript enabled to explore it visually.