Semantic Search
Semantic search uses AI to understand the meaning and intent behind queries rather than just matching keywords. It leverages embeddings and language models to return results that are conceptually relevant.
Understanding Semantic Search
Semantic search goes beyond traditional keyword matching by understanding the meaning and intent behind a query, returning results based on conceptual relevance rather than exact word overlap. It relies on word embeddings and sentence embeddings to represent both queries and documents as vectors in a high-dimensional space, using semantic similarity to rank results. Modern semantic search systems use transformer-based models to encode text and vector databases to perform efficient nearest-neighbor lookups at scale. Applications span enterprise knowledge management, e-commerce product discovery, legal document retrieval, and customer support automation. Retrieval-augmented generation (RAG) systems combine semantic search with large language models to ground AI responses in relevant source documents, significantly reducing hallucination and improving factual accuracy.
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.