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NLWeb - Microsoft launches open-source project that supports natural language interaction with any website.

NLWeb is an open-source project launched by Microsoft that simplifies the creation of natural language interfaces for websites, enabling any website to become an AI-driven application. NLWeb uses semi-structured data such as Schema.org and RSS, combined with LLM...

What is NLWeb?

NLWeb is an open-source project launched by Microsoft that simplifies the creation of natural language interfaces for websites, enabling any website to become an AI-driven application. NLWeb uses semi-structured data such as Schema.org and RSS, combined with LLM tools, to provide users with an AI assistant-like interactive experience. NLWeb natively supports MCP (Model Context Protocol), allowing both humans and agents to use the same natural language API. NLWeb supports multiple operating systems and mainstream models, has low deployment costs, and is easy to use.

NLWeb's main functions

  • Natural Language InteractionNLWeb enables websites to interact with users based on natural language, allowing users to easily enter questions or instructions to obtain website content or services.
  • Content discovery and accessPresenting website content to users in a structured format helps them find the information they need more quickly and accurately.
  • Intelligent agent interactionNLWeb natively supports MCP (Model Context Protocol), enabling websites to interact with intelligent agents (such as AI assistants and chatbots).
  • Data integration and enhancementIntegrate existing semi-structured data on the website (such as Schema.org, RSS, etc.) and combine them with external knowledge provided by LLM (Large Language Model) to provide users with a richer and more accurate interactive experience.

NLWeb's technical principles

  • Based on semi-structured dataBased on the website's existing semi-structured data (such as Schema.org, RSS, etc.), the data provides semantic descriptions of the website content, enabling NLWeb to better understand and handle user questions.
  • LLM driverNLWeb combines the powerful language understanding and generation capabilities of LLM (Large Language Model) to provide users with a natural and fluent interactive experience. LLM can understand the user's natural language input and generate accurate and relevant answers.
  • MCP protocolNLWeb natively supports MCP (Model Context Protocol) for interaction with chatbots, AI assistants, and tools. Each NLWeb instance is an MCP server, supporting a core method called "ask," which allows users to ask questions to the website in natural language and receive structured responses.
  • Technology independenceNLWeb is an open project with strong technology independence. It supports all major operating systems (such as Windows, macOS, and Linux), allowing developers to choose the components that best suit their needs. It also supports all major model and vector databases, offering excellent flexibility and scalability.

NLWeb's project address

Application scenarios of NLWeb

  • Retail shoppingRetailers are creating chatbots to help users recommend clothing and products based on their needs, and provide services such as size selection and inventory checks.
  • Food and beverage servicesCooking websites or restaurants recommend recipes or dishes based on user preferences and ingredient availability, and offer reservation services.
  • Travel bookingTravel websites provide users with services such as itinerary planning, hotel booking, and attraction recommendations, generating personalized solutions based on user preferences.
  • News and Content RecommendationsNews websites or content platforms recommend relevant news, articles, or videos based on users' interests and browsing history using natural language interaction.
  • Technical support and customer serviceBuild an intelligent customer service system on your company's website to answer user questions about product usage, troubleshooting, and provide technical support.
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