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Description
NLWeb is a collaborative initiative by Microsoft designed to facilitate the creation of an intuitive, natural language interface for websites, utilizing any chosen model alongside proprietary data. The primary objective of NLWeb, which stands for Natural Language Web, is to provide the quickest and simplest means of transforming a website into an AI application, enabling users to interact with the site's content through natural language queries, akin to engaging with an AI assistant or Copilot. Each instance of NLWeb functions as a Model Context Protocol (MCP) server, giving websites the option to make their information discoverable and accessible to various agents and participants within the MCP framework. By leveraging semi-structured data formats such as Schema.org and RSS, which many websites already employ, NLWeb integrates these with LLM-powered tools to facilitate natural language interfaces that cater to both humans and AI agents, ultimately enhancing user interaction and engagement. This innovative approach not only streamlines the integration process but also broadens the accessibility of web content for a diverse audience.
Description
Transforming data into a functional bot takes just minutes. You can effortlessly create, train, and launch an advanced bot by utilizing resources such as FAQ pages, support sites, product manuals, SharePoint documents, or editorial content, all through a user-friendly interface or REST APIs, and there's no need for any coding skills. Whether you want to deploy your bot within teams or on different platforms, you can do so without writing a single line of code. Moreover, you can infuse your bot with personality by incorporating pre-existing chit-chat datasets. The system allows for the extraction of question-answer pairs from various semi-structured content like FAQ pages, support websites, Excel files, SharePoint documents, product manuals, and policies. It's also straightforward to design intricate multi-turn conversations using the QnA Maker portal or REST APIs. You can enhance your ranking model based on insights drawn from your bot's usage and user feedback, ensuring continual improvement. With the QnA Maker service being a hosted model, you have the flexibility to select product tiers that align with your organization’s size and throughput requirements, all while maintaining security within your Azure compliance framework. This comprehensive approach ensures that anyone, regardless of technical background, can harness the power of automated conversational agents.
API Access
Has API
API Access
Has API
Integrations
Azure AI Content Safety
Azure AI Services
Azure Marketplace
Eventbrite
Inception Labs
LUIS
Microsoft Azure
Microsoft Copilot
Microsoft SharePoint
Milvus
Integrations
Azure AI Content Safety
Azure AI Services
Azure Marketplace
Eventbrite
Inception Labs
LUIS
Microsoft Azure
Microsoft Copilot
Microsoft SharePoint
Milvus
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
news.microsoft.com/source/features/company-news/introducing-nlweb-bringing-conversational-interfaces-directly-to-the-web/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
www.qnamaker.ai/
Product Features
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Product Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
Conversational AI
Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant