In this tutorial, you will learn how to use Semantic Search API in 5 minutes using JavaScript. Eden AI provides an easy and developer-friendly API that allows you to search information into texts.
Semantic Search API uses Natural Language Processing (NLP) and Machine Learning techniques to understand the intent of the user and the context of the query, and then returns results that are semantically related to the query. It can provide a more effective result than traditional keyword-based search methods by focusing on concepts and ideas rather than basic matching keywords.
The first step is to set Axios, a promise-based HTTP client for the browser and Node.js, that will allow you to call Eden AI API.
You are now ready to process text into Eden AI Search API. You can access the list of languages supported in our documentation here.
To perform Semantic Search, you'll need to create an account on Eden AI for free. Then, you will be able to get your API key directly from the homepage with free credits offered by Eden AI.
Now that you have initialized the required JavaScript modules and got your API key, you will be able to search information into your text. With Eden AI, you can choose from a wide range of engines you want for Semantic Search. You can access the list of Semantic Search providers available on Eden AI directly on our documentation.
Here is the JavaScript code to configure the request:
Then, you'll need to launch the request and print the result:
Here is an example of a Semantic Search response:
As you can see, using Semantic Search 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 Semantic Search request with specific parameters, check out our documentation.
You can directly start building now. If you have any questions, feel free to chat with us!
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