RAG & Search
A curated glossary category for "RAG & Search" terms. Practical definitions for generative AI, LLM, RAG, AI agents, DX, and cybersecurity — with examples for executives and IT teams driving real-world adoption.
12 terms
RRF
RRF (Reciprocal Rank Fusion) is a scoring method that integrates ranking results returned by multipl
Agentic RAG
Agentic RAG is an architecture in which an LLM autonomously and iteratively generates search queries
Embedding
Embedding is a technique that transforms unstructured data such as text, images, and audio into fixe
GraphRAG
A next-generation RAG architecture that combines knowledge graphs and vector search, leveraging rela
Gemini Embedding 2
Gemini Embedding 2 is a multimodal embedding model developed by Google, capable of converting text,
Semantic Search
Semantic search is a method that returns search results based on the "semantic proximity" between a
Chunk size
Chunk size refers to the size (in number of tokens or characters) of the unit into which documents a
Knowledge Graph
A data model that represents entities and their relationships in a graph structure. It is used to im
Hybrid Search
Hybrid search is a technique that combines keyword-based full-text search (such as BM25) with vector
BM25
BM25 (Best Matching 25) is a probabilistic information retrieval algorithm that scores the relevance
Vector Database
A vector database stores text, images, and other data as numerical vectors (embeddings) and provides
RAG (Retrieval-Augmented Generation)
RAG (Retrieval-Augmented Generation) is a technique that improves the accuracy and currency of respo