xAI launched the Grok Voice Agent API, which costs only $0.05 per minute, offering extremely high cost-effectiveness. The model performs best in audio reasoning benchmark tests, with a first sound delay of less than 1 second and a response speed nearly five times faster than competitors. It supports automatic detection and switching of dozens of languages including Chinese, and integrates real-time web search and reasoning capabilities to enhance response quality.
Brave browser introduces a new AI search feature, offering more detailed answers in addition to the original concise responses, complementing the AI Answers function. This service does not require switching modes and automatically optimizes the search experience for users. It currently has over 15 million daily active users.
OpenAI announced several important improvements to the search response quality of ChatGPT. These new upgrades aim to enhance the user's search experience, allowing them to get more comprehensive and timely answers. According to OpenAI's official information, ChatGPT can now handle smarter responses, adapt to longer conversation contexts, and support searching by uploading images. Specifically, the new version of ChatGPT shows smarter and better performance in understanding user questions. It can adapt to users'
Alipay launches AI job assistant 'Xiaoye', leveraging AI models and digital human tech to enhance recruitment and job search experience, addressing matching and response issues for efficient, smart, and reliable employment services.....
A plugin that enhances Google and Stackoverflow search results with ChatGPT responses.
Displays chatbot responses within search engine results.
Displays ChatGPT responses alongside search engine results, supporting GPT-4 and web access.
Displays ChatGPT's response results within Google Search.
Anthropic
$105
Input tokens/M
$525
Output tokens/M
200
Context Length
Google
$0.7
$2.8
1k
$7
$35
$21
Alibaba
-
Bytedance
$0.15
$1.5
256
$54
$163
Tencent
$1
$4
32
Baidu
Openai
$8.75
$70
400
$0.35
$15
$0.8
$8
Chatglm
$2
128
$16
This project creates an AI agent based on the n8n platform that can discover and use Model Context Protocol (MCP) server tools through the Nostr network. The agent searches for available tools by querying Data Vending Machines (DVM) in the network, sends requests, and obtains responses, thereby expanding the functionality of the LLM to use MCP tools that are not installed.
The Internet Search MCP is a service encapsulated based on Tencent Cloud's Internet Search API, providing intelligent search capabilities with millisecond - level response and minute - level updates, supporting multiple functions such as natural result retrieval and multi - modal VR cards, helping developers quickly integrate Internet search capabilities.
A FastMCP based MCP server that provides seamless access to the 4get meta search engine API, supports web, image, and news searches, has intelligent caching, retry mechanisms, and rich response formats.
The Naver Search MCP Server is a multi - platform communication protocol service that provides access to Naver Search APIs, supports searching for various types of content such as blogs, news, books, and images, and optimizes structured text responses for AI agents.
Linkup for Claude is a tool that provides real-time internet access and high-quality content search capabilities for the AI assistant Claude, breaking through its knowledge cut-off limit and enhancing the timeliness and accuracy of its responses.
An MCP service for document retrieval based on vector search, providing relevant document context to enhance the response ability of AI assistants
The MCP-RAG Server is an implementation based on the Model Context Protocol (MCP), aiming to provide real-time document access to AI assistants through semantic vector search, thereby generating context-aware responses based on the latest information.
An MCP server implementation based on the Gemini Flash 1.5 API. It coordinates multiple modular AI services (chatting, searching, RAG, deep reasoning, etc.) through a central router to achieve intelligent request distribution and response integration.
A Smartsheet API interaction server based on the Model Context Protocol (MCP), providing functions for searching, retrieving, and updating Smartsheet tables, supporting version backups and formatted responses.
This project is an MCP server implementation based on the Gemini Flash 1.5 API. It coordinates multiple modular AI services (such as chatting, searching, RAG, in - depth reasoning, etc.) through a central router to achieve intelligent request distribution and response processing.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
