Open-source Perplexity app.
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Updated
Jul 19, 2025 - Python
Open-source Perplexity app.
Enhanced MCP server for SearXNG: category-aware web-search, web-scraping, and date/time retrieval.
A MCP server providing real-time web search capabilities to any AI model.
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A multi‑AI chat platform combining live web search, document retrieval (RAG), and built‑in image generation in one unified interface.
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MCP server to empower your agent with enterprise-grade Gemini integration for codebase analysis, live search, text/PDF/image processing, and more on your favorite MCP clients.
This repository offers an in-depth review of these advancements, focusing on Text-based AI Search, Web Browsing Agents, Multimodal AI Search, Benchmarks, Software, and Products.
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GEORGE is an AI chatbot powered by Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). It answers questions using vectorized podcast transcripts stored in a database and can search the web to enrich responses
LangGraph Web Agent: A LangGraph based intelligent AI assistant that can perform network searches, crawl web content, and intelligently summarize, providing users with a deeper and more comprehensive network information acquisition experience than regular searches.
A multi-agent AI system that provides intelligent investment suggestions for cryptocurrency trading on Binance.
A Multi-Agent System for Deep Literary Discovery
Innovative new code that leverages Agents SDK and the computer-use-preview openai api model . The user input a query and the app builds the config and JSON to "visually" search the web for products based on the LLM prompt generated. Test code for proof of concept
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AI-powered system designed to excel at medical coding practice tests using advanced language models, retrieval-augmented generation (RAG), web search and automated testing frameworks.
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