Discover how diSearch, powered by Google's Vertex AI Search, can transform your enterprise search experience with semantic search, RAG, and generative AI. Unlock the full potential of your data and drive innovation with Aretec's cutting-edge solution.
We understand the importance of harnessing the full potential of your organization's data to drive innovation and stay competitive. That's why we've partnered with Google to introduce diSearch, a cutting-edge enterprise search solution powered by Vertex AI Search. With diSearch, you can build Google-quality search experiences for your websites, structured, and unstructured data in just hours, not months.
diSearch is a game-changing solution that empowers you to unlock the untapped value of your data. By leveraging Vertex AI Search, a fully managed platform built on Google's expertise in semantic search, diSearch enables you to create RAG-powered generative AI experiences that deliver unparalleled accuracy, reliability, and relevance. Enhance your existing applications or build new ones from the ground up with diSearch.
Say goodbye to frustrating keyword matching and embrace modern, conversational search experiences that improve productivity. diSearch integrates Vertex AI Search into your applications seamlessly, delivering more relevant search results and improving the quality of information retrieval. Customize your search experience while ensuring scalability, privacy, and governance.
Retrieval Augmented Generation (RAG) combines the power of large language models (LLMs) with robust data retrieval systems. Building your own RAG system can be complex, but diSearch simplifies the process by functioning as an out-of-the-box RAG system for information retrieval. Ground LLM responses in your company's data, ensuring improved accuracy and relevance for real-world business applications.
For users & organizations seeking greater control and customization, Vertex AI offers a comprehensive set of APIs that empower developers to create bespoke DIY grounding solutions. These APIs, including the Document AI Layout Parser API, Ranking API, Grounded Generation API, and Check Grounding API, expose the underlying components of Vertex AI Search's out-of-the-box RAG system.
diSearch harnesses Vertex AI Platform, which uses natural language processing and machine learning techniques to deliver more relevant results than traditional keyword-based search. By understanding the relationships within content and the intent behind user queries, diSearch delivers intuitive, efficient, and transformative search experiences.
Vertex AI Search brings together the power of deep information retrieval, state-of-the-art natural language processing, and the latest in large language processing to understand user intent and return the most relevant results for the user.
Find similar things in seconds, even with billions of items. Vector Search unlocks powerful semantic matching for recommendations, chatbots, and more. Let's see how to build a recommendation engine with Vector Search:
Take away the main of writing code and generating embeddings manually
Store your files in Cloud Storage for easy retrieval
Link your embeddings to Vector Search to perform nearest neighbor search.
Build an index from your embeddings and deploy it to an endpoint for querying.
Use the index endpoint to query for approximate nearest neighbors, finding items semantically similar to your query.
Assess the results and refine the algorithm's parameters or scaling as needed to ensure accuracy and performance.
Your organization may have terabytes of data; and organizing it to be easily found can be one of the most challenging problems to solve. You could also have a public-facing website and need high-quality search for your customers. For both cases, you can use Vertex AI Search to create search engines. Watch this video and discover how to make an internal search app with minimal coding and minimal setup.
A medically-tuned Google search experience on healthcare data
Searching data in healthcare can be a difficult task due to the complexities of medical terminology and data standardization.
Vertex AI Search uses its medical tuning to find relevant information from structured and unstructured patient records. It understands medical abbreviations like "abx" and can answer questions with MedLM to provide generative AI answers grounded on patient data. The product integrates with Healthcare Data Engine for a seamless experience.
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