Rag Glossary

Browse 17 rag terms defined in plain English, from the cultural dictionary of computing.

17 Rag Terms

grounding
The technique of connecting an LLM's outputs to verifiable external data sources to reduce hallucinations and improve factual accuracy. Grounding typically...
RAG Architecture
The overall system design for retrieval-augmented generation, including indexing, chunking, retrieval, ranking, prompt assembly, and answer generation. RAG...
RAG Chain
A retrieval-augmented generation workflow built as a sequence of connected steps such as query rewriting, retrieval, reranking, and final generation. The...
RAG Chunk
A chunk of source content prepared for indexing and retrieval in a retrieval-augmented generation system. Chunk size and boundaries affect both what gets...
RAG Context
The retrieved material inserted into a prompt as supporting context for a retrieval-augmented generation system. RAG context needs to be relevant and concise...
RAG Embedding
An embedding used within a retrieval-augmented generation system to represent documents, chunks, or queries for semantic search. The embedding model chosen for...
RAG Evaluation
The evaluation of retrieval-augmented generation systems across dimensions such as retrieval relevance, grounding, citation quality, answer correctness, and...
RAG Framework
A framework that provides components or abstractions for building retrieval-augmented generation systems, such as indexing, retrievers, prompt templates, and...
RAG Index
The searchable index used by a retrieval-augmented generation system to locate relevant source material. A RAG index may store embeddings, metadata, keywords,...
RAG Pipeline
The full retrieval-augmented generation pipeline, including ingestion, chunking, indexing, retrieval, reranking, prompt assembly, generation, and validation....
RAG Query
A query sent into a retrieval-augmented generation workflow to retrieve relevant supporting material before generation. RAG queries may be raw user questions...
RAG Retriever
The retriever component in a retrieval-augmented generation system that selects candidate documents or chunks for the model to use as context. Retriever...
RAG Search
The retrieval search process within a retrieval-augmented generation system, often combining semantic, keyword, or hybrid approaches. RAG search determines...
RAG System
A complete retrieval-augmented generation system that combines search or retrieval with generation so answers can be grounded in external knowledge. RAG...
retrieval
In the context of LLM applications, the process of fetching relevant documents or data chunks from an external knowledge base to provide as context for the...
Retrieval Augmented Generation
A pattern where a model first retrieves relevant documents or facts and then uses them while generating an answer.
Vector Database
Vector Database is a specialized database system optimized for storing, indexing, and querying high-dimensional vectors (arrays of numbers) that represent data...

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