Best Question Answering APIs in 2024

What is Question Answering?

Question Answering APIs use Machine Learning and Natural Language Processing (NLP) techniques to analyze the text of a question and provide a relevant and accurate answer.

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This API is designed to understand the context and meaning of the question being asked and identify the most relevant information from a large corpus of data, such as a database or knowledge base. This allows users to quickly and easily find answers to their questions without the need for manual searching or browsing through large amounts of information.

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Question Answering APIs uses cases

You can use Question Answering APIs in numerous fields, here are some examples of common use cases:

• Customer support: power chatbots and virtual assistants capable of answering common customer questions and resolving issues without human intervention.
• Education: provide students with answers to their questions on a variety of topics, or help teachers quickly access relevant information from educational resources.
• Finance: provide customers with answers about financial products and services, or help financial professionals quickly access relevant information from financial databases.
• Healthcare: provide patients with information about their symptoms and conditions, or help healthcare providers quickly access relevant information from medical databases.
• Legal: help lawyers and legal professionals quickly access relevant information from legal databases or provide answers to common legal questions.

These are just a few examples of Question Answering API uses case, it can be applied in many different fields to improve efficiency, accuracy, and customer satisfaction by providing quick and accurate answers to common questions while releasing human resources for more complex tasks.

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Best Question Answering APIs on the market

While comparing Question Answering APIs, it is crucial to consider different aspects, among others, cost security and privacy. Question Answering experts at Eden AI tested, compared, and used many Question Answering APIs of the market. Here are some actors that perform well (in alphabetical order):

• Hugging Face
• Microsoft Azure
• NLP Cloud
• Open AI
• Tenstorrent

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1. Hugging Face - Available on Eden AI

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Hugging Face provides a state-of-the-art Question Answering API that uses advanced NLP models to answer questions in a conversational manner. With high accuracy and the ability to handle complex questions, the API is customizable and can be fine-tuned for specific use cases or industries.

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2. Microsoft Azure

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Microsoft Azure's Question Answering API uses Machine Learning to provide contextually relevant answers. Their technology also supports multiple languages with high accuracy and fast response time. In addition, the API can be customized for specific industries.

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3. NLP Cloud

NLP Cloud provides a powerful and flexible Question Answering solution based on the latest natural language processing models. The API offers a fast response time for the pre-trained Roberta model and impressive accuracy for the GPT-J model. Additionally, users have the option to either leverage the pre-existing models or create and upload their own custom models

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4. Open AI - Available on Eden AI

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OpenAI uses state-of-the-art Deep Learning models for their Question Answering API. It is trained on a vast amount of data and continually updated to ensure that it can provide accurate answers to a wide range of questions. In addition, OpenAI's technology can handle complex questions that require a certain understanding of context and relationships between concepts. The API is also designed to be scalable for handling large volumes of queries in real-time.

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5. Tenstorrent - Available on Eden AI

Tenstorrent's AI Q&A API uses machine learning to provide contextually relevant answers. Their technology is capable of supporting a variety of languages with high accuracy and rapid response time. Furthermore, the system can be tailored to adapt to different sectors.

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Performance variations of Question Answering APIs

For all companies who use Question Answering API in their software: cost and performance are real concerns. The Question Answering market is quite dense and all those providers have their benefits and weaknesses.

Performances of Question Answering vary according to the specificity of data used by each AI engine for their model training. This means that some APIs may perform well at providing information while others could generate human-like responses.

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Performance variations according to fields

Some Question Answering APIs trained their engine with specific data. Some APIs may perform well for medical questions while others may perform better for financial questions.

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Performance variations according to the languages

Question Answering APIs perform differently depending on the language of the text. In fact, some providers are specialized in specific languages. Different specificities exist:

• Region specialties: some Question Answering APIs improve their machine learning algorithm to make them accurate for text in specific languages spoken in particular countries or regions. For example, some APIs perform well in English (US, UK, Canada, South Africa, Singapore, Hong Kong, Ghana, Ireland, Australia, India, etc.), while others are specialized in Asian languages (Korean, Japanese, Chinese, etc.)

• Rare language specialty: some Question Answering providers care about rare languages and dialects. You can find Question Answering APIs that allow you to process text in Gujarati, Marathi, Burmese, Pashto, Zulu, Swahili, etc.

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Why choose Eden AI to manage your Question Answering APIs

‍Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate Question Answering tasks in their cloud-based applications, without having to build their own solutions.

Eden AI offers multiple AI APIs on its platform amongst several technologies: Text-to-Speech, Language Detection, Sentiment analysis API, Summarization, Face Detection, Data Anonymization, Speech recognition, and so forth.

We want our users to have access to multiple Question Answering engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs :

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• ‍Fallback provider is the ABCs: You need to set up a provider API that is requested if and only if the main Question Answering API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
• ‍Performance optimization: After the testing phase, you will be able to build a mapping of providers’ performance based on the criteria you have chosen (languages, fields, etc.). Each data that you need to process will then be sent to the best Question Answering API.‍
• Cost - Performance ratio optimization: You can choose the cheapest Question Answering provider that performs well for your data.
• ‍Combine multiple AI APIs: This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because Question Answering APIs will validate and invalidate each other for each piece of data.

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How Eden AI can help you?

‍Eden AI has been made for multiple AI APIs use. Eden AI is the future of AI usage in companies. Eden AI allows you to call multiple AI APIs.

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• Centralized and fully monitored billing on Eden AI for all Question Answering APIs
• Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
• Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
• The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
• Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

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You can see Eden AI documentation here.

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Next step in your project

The Eden AI team can help you with your Question Answering integration project. This can be done by :

• Organizing a product demo and a discussion to better understand your needs. You can book a time slot on this link: Contact
• By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
• By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
• Having the possibility to integrate on a third party platform: we can quickly develop connectors

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