Knowledge Graph
A knowledge graph is a structured representation of real-world entities and the relationships between them. AI systems use knowledge graphs to enhance reasoning, question answering, and recommendation systems.
Understanding Knowledge Graph
A knowledge graph is a structured representation of real-world entities and the relationships between them, stored as a network of interconnected nodes and edges. Major examples include Google's Knowledge Graph, Wikidata, and enterprise-specific graphs used in healthcare, finance, and e-commerce. In AI, knowledge graphs serve as a foundation for knowledge representation and reasoning, enabling systems to answer complex queries, make inferences, and provide explainable recommendations. They are increasingly used alongside large language models to provide grounding and reduce hallucination through structured factual lookup. Constructing and maintaining knowledge graphs involves natural language processing techniques like named entity recognition and relation extraction. Graph neural networks can learn from knowledge graph structures, and retrieval-augmented generation systems often query knowledge graphs to supplement a language model's responses with verified, up-to-date information.
Category
AI Applications
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Agent
An AI agent is an autonomous system that perceives its environment, makes decisions, and takes actions to achieve specific goals. Modern AI agents can use tools, browse the web, write code, and chain multiple reasoning steps together.
Agentic AI
Agentic AI refers to AI systems that can autonomously plan, reason, and execute multi-step tasks with minimal human oversight. These systems use tool calling, memory, and iterative problem-solving to accomplish complex goals.
AI Visibility
AI visibility refers to how prominently a brand, product, or entity appears in AI-generated responses from systems like ChatGPT, Perplexity, and Gemini. As AI-powered search grows, visibility in AI recommendations becomes a critical marketing metric.
Chatbot
A chatbot is a software application that simulates human conversation through text or voice interactions. Modern AI chatbots use large language models to generate contextually relevant, natural-sounding responses.
Hate Speech Detection
Hate speech detection is the AI task of automatically identifying harmful, abusive, or discriminatory language in text. It is a key component of content moderation systems on social media platforms.
Human-in-the-Loop
Human-in-the-loop (HITL) is an approach where humans actively participate in the AI decision-making or training process. HITL systems combine human judgment with AI speed to improve accuracy and safety.
Information Retrieval
Information retrieval is the science of searching and extracting relevant documents or data from large collections. Modern AI-powered search uses embeddings and language models to understand semantic meaning.
Intelligent Agent
An intelligent agent is an autonomous entity that observes its environment through sensors and acts upon it through actuators to achieve goals. Modern AI agents combine perception, reasoning, and action in complex workflows.