AI is transforming healthcare information access, with ChatGPT serving as a key health consultation tool for millions, handling over 40 million daily queries. It's primarily used for non-clinical tasks like insurance advice, with weekly messages reaching 1.6-1.9 million, focusing on comparisons and claims rather than diagnosis.....
OpenAI plans to integrate ads into ChatGPT, prioritizing sponsored content for consumer queries to offer marketing opportunities for advertisers and targeted product information for users.....
Study shows traditional search engines and generative AI differ in information presentation, based on 4600+ queries across six fields using Google Search and four AI systems.....
Google launches a new feature called Map Grounding with the Gemini API, allowing developers to directly integrate AI applications into Google Maps' over 2.5 billion location data. This feature supports automatic identification of geographical location queries, extracting real-time structured information such as addresses and operating hours, significantly improving the development efficiency of location-aware AI applications.
Google
$0.49
Input tokens/M
$2.1
Output tokens/M
1k
Context Length
Xai
$1.4
$3.5
2k
Anthropic
$105
$525
200
$21
Alibaba
$2
$20
-
$4
$16
Baidu
128
$1
$10
256
$6
$24
Bytedance
$0.8
$0.15
$1.5
32
sdadas
MMLW is a neural text encoder for Polish, optimized for information retrieval tasks, capable of converting queries and paragraphs into 1024-dimensional vectors.
antoinelouis
This is a French semantic search model based on the SPLADE-max architecture, specifically designed to map French queries and documents to a high-dimensional sparse vector space and evaluate relevance by calculating cosine similarity. The model has been fine-tuned on the mMARCO French dataset and is suitable for efficient and accurate French information retrieval tasks.
MMLW (I Must Get Better News) is a Polish neural text encoder optimized for information retrieval tasks, capable of converting queries and passages into 768-dimensional vectors.
MMLW is a neural text encoder for Polish, optimized for information retrieval tasks, capable of converting queries and passages into 1024-dimensional vectors
MMLW (I Must Get Better Messages) is a Polish neural text encoder optimized for information retrieval tasks, capable of converting queries and passages into 768-dimensional vectors.
MMLW (I Must Get Better Messages) is a neural text encoder for Polish, optimized for information retrieval tasks, capable of converting queries and passages into 384-dimensional vectors.
jeffwan
A multilingual cross-encoder trained on the MMARCO dataset, supporting information retrieval tasks in 14 languages. It can score the relevance between queries and paragraphs, providing efficient and accurate support for multilingual information retrieval.
sinequa
A multilingual vectorizer developed by Sinequa that generates embedding vectors for input paragraphs or queries, used for similarity calculation and information retrieval.
gaussalgo
A text-to-SQL conversion model fine-tuned based on T5-large-LM-adapt, generating executable SQL queries by integrating database table structure information
castorini
Doc2Query is a model for document retrieval that converts documents into queries to improve the effectiveness of information retrieval.
A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.
An MCP server that provides financial market data, supporting queries of financial data and price information of stocks and cryptocurrencies
An MCP server that provides access to Rust documentation, supporting search for documentation, type information, feature flags, version numbers, and symbol definitions/source code queries.
An unofficial Python API wrapper for accessing cycling race data on firstcycling.com, supporting queries for race, rider, and ranking information.
A local server compatible with the MCP protocol, providing real-time public transport data from multiple European countries, including train schedules, real-time departure information, and bus location queries in the UK, Switzerland, and Belgium.
The MCP service of Bangumi TV provides access to the BangumiTV API, supporting queries for information on entries such as anime, manga, music, games, and related character and personnel data.
An MCP server based on the Free Dictionary API, providing English word definition queries and a random word - of - the - day function, supporting difficulty classification and rich vocabulary information.
An MCP server that provides real-time information on the New York subway, including train arrival times, station search, service status, and real-time alerts, using AI to intelligently process geographical location queries.
The AQICN MCP Server is a service that provides global air quality data, supporting real-time air quality information queries by city name or geographical coordinates.
An MCP server that provides access to the gnomAD genomic database, supporting queries for gene information, variant analysis, and population genetics data.
The MCP service of Bangumi TV provides access to the BangumiTV API, supporting queries for information on entries such as anime, manga, music, and games, including entry details, characters, personnel, and related data retrieval functions.
The Yushan Data API service provides enterprise data query functions. Through a server compatible with the MCP protocol, it realizes multiple enterprise information queries, including basic information, overseas investments, change records, etc., and supports quick access to intelligent agent assistants.
This project demonstrates how to use Google's Gemini 2.5 Pro model to interact with the flight search tool under the MCP protocol through the function call feature, enabling natural language queries for flight information and returning formatted results.
A cryptocurrency market data server based on the MCP protocol that provides real-time and historical market data by integrating mainstream exchange APIs, supporting price queries, market analysis, and access to trading information.
This project is a set of tools for interacting with the TMDB movie database based on the Model Context Protocol (MCP), providing various movie information query functions, including queries for actor cooperation, movie staff, and movie works, etc.
This is an MCP+RAG proof-of-concept project for the oil and gas industry. It automatically distributes user queries to the correct domain services (such as drilling, production, procurement, etc.) through intelligent routing and combines hybrid retrieval technology to obtain accurate information from documents, providing answers with references to achieve fast and unified access to cross-domain data.
myAI Memory Sync is a cross - platform memory sync tool designed for Claude. It realizes unified management of user preference settings and personal information through the local - first MCP protocol, and supports natural language interaction and high - speed cache queries.
The UniProt MCP Server is a service that provides protein information queries, supporting the retrieval of protein function and sequence information through UniProt numbers.
Graphiti MCP Server is an enhanced knowledge graph framework specifically designed for AI agents to build and query time - aware knowledge graphs in dynamic environments. It exposes core functions through the MCP protocol, supports continuous integration of user interactions, enterprise data, and external information, and provides capabilities for incremental updates, efficient retrieval, and precise historical queries.
An MCP protocol server that provides npm package information queries
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