How to use Semantic Search with Python in 5 minutes?
3 min read
- In this tutorial, you will learn how to use Semantic Search API in 5 minutes using Python. Eden AI provides an easy and developer-friendly API that allows you to search information into texts.*
What is Semantic Search?
Semantic Search is an information retrieval method that goes beyond keyword matching to understand the intent and context of a user's search query. Instead of just searching for matching keywords, a Semantic Search engine tries to understand the meaning behind the words and return the most relevant results for the user's actual intent.
Semantic Search API result on Eden AI
Since the search engine can understand the context and intent behind the user's query, it can drive more accurate and useful search results. This technology can be used in many applications such as chatbots, document retrieval and search engines.
Get Started with Semantic Search API using Python
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.
How to use Semantic Search API for Text with Python
You are now ready to process text into Eden AI Search API. You can access the list of languages supported in our documentation here.
1. Get a Semantic Search API Key on Eden AI
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.
Get your API key for FREE on Eden AI
2. Let’s Search information into a Text
Now that you have imported packages on Python 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 Python script you need to write on your notebook:
For example, we called two different Semantic Search 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 Semantic Search response:
Benefits of using Semantic Search API with Eden AI
As you can see, using Semantic Search with Eden AI API is quick and easy.
Multiple AI engines in one API
Save time and cost
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.
Easy to integrate
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.