◑ applying · kind concept · level 3 · 46.17h
- Requiere: Embeddings · Transformer · Vector Database
- Aplica: Model Evaluation
Retrieval-Augmented Generation conditions the model on retrieved context instead of parameters alone — grounding answers and side-stepping stale weights. The central pattern of the Open Intelligence Stack.
A Vector Database, vector store or vector search engine is a database that stores and retrieves Embeddings of data in vector space. Vector databases typically implement approximate nearest neighbor algorithms so users can search for records semantically similar to a given input, unlike traditional databases which primarily look up records by exact match. Use-cases for vector databases include similarity search, semantic search, multi-modal search, recommendations engines, object detection, and retrieval-augmented generation (RAG).
Enlaces
- Requiere: Embeddings · Transformer · Vector Database
- Aplica: Model Evaluation