What is AI Search?

AI Search is a modern approach to search technology that uses artificial intelligence to deliver more relevant results. The legacy method of searching focused mainly on keywords or specific queries. Enhance search with Azure AI Search uses advanced techniques to understand what a user intents / wants, even if they don’t search by the exact words.

Legacy Search Methods

• Keyword Search: Matches searched words or phrases with stored data in the system and return exact matches result but missing the meaning or context behind the search.
• Query Search: Requires specific commands or a certain format, which can help sometimes but is most of the cases hard for regular users to use well.

Modern AI Search Methods

• Full-Text Search: With AI full-text search can recognize language nuances, even if they don’t exactly match the query.
• Vector Search: This method represents words and phrases as mathematical vectors, capturing meanings and relationships, helping to retrieve information based on intent and context.
• Semantic Search: This method understand meaning behind the query and providing more relevant search results.
• Hybrid Search: Hybrid search combines full-text search with vector search to provide more accurate and context-aware results. It operates by querying a search index that contains both plain text content and generated embeddings.

AI search enhances the user experience by offering more relevant, personalized, and intuitive search results following points why we need Ai Search:

• Better user experience with accurate results, even with typos or unclear searches.
• New use cases like searching through PDFs, images, and other unstructured data.
• More efficient by automating tasks like relevance rules and synonyms.
• Enhanced internal search to help users easily find information from their data
• Natural language search.
• Better search performance with large amount of data.

Using AI-Powered Search to Drive Business Growth

By using AI search, businesses can improve user experience, boost performance, increase efficiency, and grow revenue, helping them stay ahead in the digital market.

• Improves customer satisfaction by helping them find answers quickly, which leads to better experiences and more sales.
• Employees can find the information they need faster without searching through many documents, making work more efficient.
• Helps businesses make better decisions by searching for the most relevant data, which supports growth.
• Offers personalized recommendations by learning from what users search for.

Why Azure AI Search is Better

Azure AI Search is a robust search and retrieval solution built for high-performance applications, utilizing advanced AI technologies to deliver relevant search results efficiently.

Azure AI Search can be used in a variety of scenarios, including:

• Full-text search
• Generative AI and RAG-based applications
• Information discovery like document search.
• Automation like data extraction and transformation.

Why users are use Azure AI Search:

• Enhanced Search Capabilities
• Advanced AI Integration
• Scalability
• Customization and Control
• Seamless Azure Integration
• Security and Performance

Key Components Used in Azure AI Search:

• Data Sources: Data can come from various sources like databases, documents, or even real-time streams, depending on what you want to make searchable.
• Indexer: The indexer connects to your data sources, extracts the data, and populates the index. It can be scheduled to run at regular intervals to keep the index updated.
• Indexing: Processes data, breaks it into searchable pieces, and stores it in an index. It can also use AI tools like OCR and translation to improve the data.
• Index: Index is where the searchable data is stored. It supports both text and vector data, enabling complex search scenarios.
• Querying: Users can perform searches using various query types, including full-text search, vector search, and hybrid search. Features like fuzzy search, autocomplete, and semantic ranking enhance the search experience.
• AI Integration:  Azure AI Search integrates with Azure AI services to understand natural language queries better and extract more meaningful information. AI skills can also enrich data during indexing.

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Author : Mr. Urmik Prajapati