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Databorg.ai

DataBorg WebQA API offers natural language question answering over websites using advanced NLP models.

Natural Language Processing Updated 1 hour ago
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Databorg.ai

Databorg.ai's Top Features

Natural language processing
State-of-the-art embedding models
Named entity recognition
Support for 10 languages
Instant access to indexed web pages
Source links for answers
High-quality data extraction
Simple API integration
Handles complex queries
Multi-language support

Frequently asked questions about Databorg.ai

The DataBorg WebQA API is a natural language processing tool that allows users to ask questions over websites and get answers.

The API uses state-of-the-art embedding models to understand and process natural language questions to deliver high-quality answers.

The API can extract over 4000 types of named entities from any text.

The WebQA API can answer questions in 10 different languages.

Yes, the API provides links to the source articles for each generated answer.

The WebQA API can answer questions over any pages indexed by search engines.

Named entity recognition is the process of extracting specific entities like names, dates, and locations from text. The WebQA API can identify over 4000 types of named entities.

Yes, the WebQA API is designed for simple integration with just one API call.

The use of advanced NLP models and embedding techniques ensures the answers provided are accurate and reliable.

Yes, the WebQA API is capable of handling complex natural language queries.

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Category
Natural Language Processing
Tags
Web Question Answering
natural language processing
named entity recognition
embedding models
multilingual support
data extraction
source links

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