A Deep Dive Into AI Search Jargon: Google's Evolving Brain
By Tharindu Gunawardana | SearchMinistry Media
The shift from simple keyword matching to semantic, contextual understanding driven by AI and LLMs is reshaping how search works.
Key AI Search Terms
- NLP (Natural Language Processing): Enabling computers to understand and generate human language.
- Entities: Real-world objects or concepts like people, brands, and places recognized in search queries.
- Vectors and Embeddings: Lists of numbers capturing semantic meaning. RankEmbed is a dual encoder model.
- Grounding: Ensuring AI output is based on real, accurate, verifiable information to prevent hallucinations.
- RAG (Retrieval Augmented Generation): LLM generates an answer grounded in retrieved trusted documents.
- Navboost: Google's user click signal for ranking adjustments.
- Thematic Search: Grouping results into coherent themes using a Clustering Engine.