COMET by Perplexity: a browser for agentic search
Perplexity is working on a new web browser for AGENTIC SEARCH called Comet. Although no launch date has been announced yet, users can sign up for the waitlist at this link https://www.perplexity.ai/comet .. Could this be the next big advancement in AI following AI-driven search?
Agentic Search refers to a goal-directed, proactive, and strategic approach to information retrieval and exploration, typically using AI-driven autonomous agents to refine, filter, and enhance search results. It differs from traditional keyword-based search by emphasizing agency, context-awareness, and iterative refinement to deliver relevant, contextualized results.
Key Characteristics of Agentic Search
Autonomous Information Retrieval – AI-driven agents actively explore sources beyond static databases.
Context Awareness – Understanding the user's intent, prior queries, and refining results dynamically.
Iterative Query Optimization – The agent refines searches based on user feedback or predefined goals.
Multi-Source Aggregation – Collecting and synthesizing data from diverse sources for comprehensive results.
Personalization & Adaptation – Adjusting responses based on individual user preferences and search history.
Examples of Agentic Search
ChatGPT and AI-Assisted Browsing – AI agents like ChatGPT/WebGPT retrieve, summarize, and contextualize information.
Semantic and Vector-Based Search – AI systems using NLP and embeddings (e.g., OpenAI’s GPT-based search) for meaning-based retrieval rather than just keyword matching.
Autonomous Research Agents – Tools like Elicit or Connected Papers, which actively find and synthesize academic research.
AI Assistants for Learning & Workflows – Auto-GPT and BabyAGI continuously refine search tasks without constant human input.
Why is Agentic Search Important?
Efficiency: Reduces cognitive load by filtering unnecessary or misleading information.
Accuracy: Provides well-structured, credible, and context-aware insights.
Automation: Enables AI to work asynchronously to find, analyze, and summarize data.