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ease
features
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support

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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

Screenshots View All

Screenshots View All

Integrations

Azure AI Content Safety
Azure AI Services
Azure Marketplace
Eventbrite
Inception Labs
LUIS
Microsoft Azure
Microsoft Copilot
Microsoft SharePoint
Milvus
Qdrant
RSS
Schema
Shopify
Snowflake
Tripadvisor
maaiiconnect

Integrations

Azure AI Content Safety
Azure AI Services
Azure Marketplace
Eventbrite
Inception Labs
LUIS
Microsoft Azure
Microsoft Copilot
Microsoft SharePoint
Milvus
Qdrant
RSS
Schema
Shopify
Snowflake
Tripadvisor
maaiiconnect

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

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