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SQL in 5: New AI features in SQL Server 2025

#AI Tools
2025-09-28 21:4810 min read

Content Introduction

This video introduces the capabilities of SQL Server 2025, focusing on semantic search and its impact on database interaction. It discusses the importance of allowing users to ask natural language questions rather than relying solely on keywords, enhancing data retrieval and insight generation. The video also covers AI-powered features in SQL Server that understand context and intent, linking the power of semantic search with new AI capabilities like augmented generation. Viewers will learn how to incorporate these features into their applications, including the use of AI-generated chunks and embeddings for processing and analyzing large datasets. The session concludes with a demonstration of a practical use case, illustrating the enhanced user experience through sophisticated querying and the ability to find relevant products without precise keyword matches.

Key Information

  • The video welcomes database developers to learn about SQL and the integration of semantic search with SQL Server 2025.
  • It discusses the challenge of conventional keyword searching in databases and introduces semantic search as a solution for more natural language queries.
  • Semantic search bridges the gap between user intentions and database querying, allowing better understanding of context and intent.
  • SQL Server 2025 incorporates AI-powered features to allow users to search based on meaning rather than just keywords.
  • The video highlights new capabilities such as finding similar products, analyzing customer sentiment, and powering smarter recommendations.
  • The integration of AI models and techniques like retrieval-augmented generation (RAG) promises more advanced search functionality.
  • AI generate chunks is introduced as a feature that preprocesses text into manageable segments for embedding creation.
  • AI generate embeddings transform text into vector representations, which are crucial for AI applications.
  • The video concludes with an example of how these features can enhance the user experience in an outdoor activity store's database search functionality.

Timeline Analysis

Content Keywords

SQL Server 2025

SQL Server 2025 introduces innovative capabilities allowing database users to implement semantic search, enabling more natural queries beyond simple keyword matching. It bridges the gap between human language and database functionality, making it easier to extract meaningful insights from data.

Semantic Search

Semantic search in SQL Server 2025 allows users to search based on meaning and intent, rather than relying solely on keywords. This feature empowers customers to find products or information more intuitively in relational databases.

AI Features

The AI-powered features in SQL Server 2025 include enhanced capabilities for understanding context, generating embeddings, and using external AI models to interpret and respond to user queries, thus improving efficiency and effectiveness in data analysis.

Natural Language Queries

The ability to conduct natural language queries is emphasized as a significant shift in how users can interact with databases. Enhanced functionalities create opportunities for better customer experiences in retrieving relevant data.

AI Generate Chunks

The 'AI Generate Chunks' function in SQL Server 2025 pre-processes text, breaking it into smaller segments for better handling of large amounts of data, facilitating easier embedding and indexing for semantic search operations.

AI Generate Embeddings

With the 'AI Generate Embeddings' function, SQL Server 2025 converts text data into vector arrays, creating a numerical representation of text meanings essential for advanced AI applications and effective data analysis.

RAG (Retrieval-Augmented Generation)

The concept of RAG integrates the strengths of large language models with trusted information stored in databases, enhancing the capability to generate responses based on user queries while maintaining data security.

External AI Models

SQL Server 2025 supports connections to various external AI models, including Azure OpenAI and locally hosted solutions like Olama, allowing businesses to leverage AI tools directly within their database environments securely.

Security in SQL Server 2025

SQL Server 2025 ensures that only model admins can manage AI models, providing controlled access to users and maintaining security and privacy for sensitive data throughout AI integration.

Related questions&answers

What is the new feature introduced in SQL Server 2025?

SQL Server 2025 introduces the capability of semantic search, which allows for more natural language questions and insights beyond simple keywords.

How does semantic search improve database queries?

Semantic search helps users search by what they mean or want, rather than just what they type, providing better and more relevant results.

What is the role of AI in SQL Server 2025?

AI in SQL Server 2025 enhances its ability to understand context and intent, allowing for more advanced search capabilities and insights.

What does RAG stand for in the context of SQL Server 2025?

RAG stands for Retrieval-Augmented Generation, which involves combining the strengths of large language models with the rich data in a database to create more relevant responses.

Can SQL Server 2025 handle sensitive data securely with AI?

Yes, SQL Server 2025 allows for AI integration while keeping sensitive data secure within the database, without the need to move it to external services.

How are AI-generated chunks useful in SQL Server 2025?

AI-generated chunks break text into smaller segments for efficient processing, which is helpful when working with large amounts of data or preparing data for embeddings.

What are embeddings in SQL Server 2025?

Embeddings are numerical representations of text meaning, which can be generated using AI functions to enable better machine learning capabilities.

How does SQL Server 2025 improve product searching for customers?

It allows customers to find products by understanding context and related words rather than through exact keyword matching, leading to more accurate results.

Is there a way to test the new features in SQL Server 2025?

Yes, users can explore the new features in their SQL Server environment through practical implementations and specific use cases designed for the enhanced capabilities.

How can users stay updated with the latest features and updates of SQL Server?

Users can subscribe to the SQL and 5 channel on platforms like YouTube and hit the notification bell to receive updates on new videos regarding SQL Server.

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