Agentic Extraction
Agentic extraction is an approach to web data collection where an AI model actively navigates, interprets, and extracts information from web pages — rather than...
Glossary
Key terms in AI search, web data, and the infrastructure that powers LLMs and AI agents.
Agentic Extraction
AI Agent
An AI agent is a software system built around a language model that can autonomously plan, execute multi-step tasks, and interact with external tools and servic...
AI Data Pipeline
An AI data pipeline is the end-to-end system that collects, processes, and delivers external data to an AI application. It connects the raw sources — web pages,...
AI Search API
An AI search API is a web service that lets applications query the internet and receive results optimized for consumption by large language models. Unlike tradi...
Context Window
The context window is the maximum amount of text — measured in tokens — that a language model can process in a single request, including both the input prompt a...
Data Freshness
Data freshness refers to how current the information is that an AI system has access to when generating responses. It is the gap between when something happens ...
Embeddings
Embeddings are numerical vector representations of text (or images, audio, and other data) produced by neural networks. Each piece of text is converted into a l...
Grounding
Grounding is the practice of anchoring a language model's output to verifiable external sources. An ungrounded model generates text based on statistical pattern...
Hallucination Prevention
Hallucination prevention encompasses the techniques and system design patterns used to reduce the rate at which AI models generate false, fabricated, or unsuppo...
LLM-Ready Data
LLM-ready data is web content that has been cleaned, structured, and formatted for direct consumption by a large language model. Raw web pages are full of noise...
MCP (Model Context Protocol)
The Model Context Protocol, or MCP, is an open standard introduced by Anthropic in late 2024 that defines how AI models connect to external data sources and too...
Real-Time Web Access
Real-time web access is the capability of an AI system to retrieve current information from the internet at the moment a user asks a question, rather than relyi...
Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation, or RAG, is an architecture pattern where a language model's response is informed by external documents retrieved at query time. ...
Search-Augmented Generation
Search-augmented generation is a specific form of RAG where the retrieval step queries a live search engine rather than a static document store. The model searc...
Semantic Search
Semantic search is a retrieval method that finds results based on the meaning of a query rather than exact keyword matches. Traditional keyword search (also cal...
SERP API
A SERP API is a service that programmatically retrieves search engine results pages and returns the data in a structured format — typically JSON. Instead of man...
Structured Output
Structured output refers to an LLM's ability to generate responses in a specific, machine-readable format — typically JSON, but also XML, YAML, CSV, or any sche...
Tool Use
Tool use, also called function calling, is the ability of a language model to invoke external functions or APIs as part of generating a response. Rather than at...
Web Browsing Agent
A web browsing agent is an AI system that can autonomously navigate, interact with, and extract information from websites using a real web browser. Unlike a sim...
Web Index
A web index is a searchable database of web pages that has been built by systematically crawling and processing the internet. When you type a query into Google,...