In this tutorial, you will learn how to use Q&A API in 5 minutes using Python. Eden AI provides an easy and developer-friendly API that allows you to ask questions based on texts.
Question Answering API allows users to input a natural language question and receive an answer based on the information present in a specific set of documents or a knowledge base. This technology uses natural language processing (NLP) and machine learning (ML) to understand the user's question and find the most relevant answer:
The first step is to install Python's requests package, that will allow you to call Eden AI API:
Next, you'll simply need to install Python's JSON package in order to read and print the result of the API request:
You are now ready to process text into Eden AI Q&A API. You can process Q&A in many languages. You can access the list of languages supported in our documentation here.
To perform Q&A, you'll need to create an account on Eden AI for free. Then, you will be able to get your API key direclty from the homepage with free credits offered by Eden AI.
Now that you have imported packages on Python and got your API key, you will be able to search infos into your text. With Eden AI, you can choose from a wide range of engine you want for Q&A. You can access all the Q&A providers available on Eden AI.
Here is the Python script you'll need to write on your notebook:
For example, we called two different Q&A engines. Eden AI API will then return in its JSON response results of those providers.
Once the request is done, you will be able to get the result with this print:
Here is an example of a Q&A response:
As you can see, using Q&A with Eden AI API is quick and easy:
We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specific features of each provider
The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.
With Eden AI you have the possibility to integrate a third-party platform: we can quickly develop connectors. To go further and customize your Q&A request with specific parameters, check out our documentation.
Document Translation is now available on Eden AI
Read our comprehensive guide on Resume Parser APIs in 2023