Building Your Own Search Engine with Vertex AI Search
Introduction
In the digital age, information overload is a common challenge. As we navigate through vast amounts of data on the internet, having efficient search capabilities becomes essential. Whether you’re managing a website, an e-commerce platform, or an internal knowledge base, providing users with a seamless search experience can significantly enhance their interaction and satisfaction..In this blog post, we’ll explore how you can leverage Vertex AI Search to develop your personalized search engine.
What is Vertex AI Search
Google Cloud’s Vertex AI Search offers a powerful solution for creating custom search experiences tailored to your specific needs. With its advanced features and flexibility, building your own search engine becomes not only feasible but also highly efficient.
Vertex AI Search lets organizations set up Google Search-quality, multimodal, multi-turn search applications powered by foundation models. Vertex AI Search brings together the power of deep information retrieval, state-of-the-art natural language processing, and the latest in large language model (LLM) processing to understand user intent and return the most relevant results for the user.
With Vertex AI Search, you can build a Google-quality search app on your own data and embed a search bar in your web pages or app.
Now Lets create Our Own Search Engine
Ohh wait , before starting one query , Does trying this will cost me more? Here is surprise for you.
$ 1,000 in FREE trial credits are awarded for use with Vertex AI Search and Conversation. These credits are valid for 1 year period beginning from account signup with Vertex AI Search and Conversation starting on Jul 18, 2023.
so Enjoy now and lets start creating own search Engine !
- In the Google Cloud console, go to the Search and Conversation page.
- Read and agree to the Terms of Service, then click Continue and activate the API.
3. Go to the Search and Conversation page.
4. Click on New App
6. In the Select app type pane, select Search.
7. In order to create a website search app, make sure Enterprise features is turned on.
8. If you don’t plan to use Advanced LLM features for this app, turn off the Advanced LLM features option.
9.In the Your app name field, enter a name for your app. Your app ID appears under the app name.
10. In the External name of your company or organization field, enter the company or organization name.
11. Select global (Global) as the location for your app, and then click Continue.
12. In the Data stores pane, click Create new data store.
13. In the Select a data source pane, select Website URLs.
14. Make sure that Advanced website indexing is turned off.
15.In the Specify the websites for your data store pane, in the Sites to include field, enter your own site if not for testing use cloud.google.com/* and then click Continue.
Now go to preview and Try searching some content relevant to your site.
Mobile View
You can easily embed this search widget on your webpage with simple steps from integration section.
You can also create search engine for unstructured data like files and media. Just store your files in GCS bucket and create datastore with GCS path.
and here is how your search result will look like.
Rather than spending months building gen AI apps, enterprise developers can quickly ingest data, add customization, and, with a few clicks, build a search engine or chatbot that can interact with customers and answer questions grounded in the factuality of their enterprise website along with specified structured and unstructured data sources.
Refer my video for complete Demo
About Me
As an experienced Fully certified (11x certified) Google Cloud Architect, Google Cloud champion Innovator, with over 7+ years of expertise in Google Cloud Networking,Data ,Devops, Security and ML, I am passionate about technology and innovation. Being a Champion Innovator and Google Cloud Architect, I am always exploring new ways to leverage cloud technologies to deliver innovative solutions that make a difference.
If you have any queries or would like to get in touch, you can reach me at my email address vishal.bulbule@techtrapture.com or connect with me on LinkedIn at https://www.linkedin.com/in/vishal-bulbule/. For a more personal connection, you can also find me on Instagram at https://www.instagram.com/vishal_bulbule/?hl=en.
Additionally, please check out my YouTube Channel at https://www.youtube.com/@techtrapture for tutorials and demos on Google Cloud.
