Implementing Fuzzy Search in SQL Server Using New Inbuilt Functions
Learn about the new string similarity functions in Azure SQL Database.
2025-03-28
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Utsav Verma
Implementing Vector Datatype with Azure SQL Server
This article shows how to insert data into a database, create embeddings, and then use this data to search the data with a natural language interface.
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Vector DB implementation using FAISS
Searching for relevant information in vast repositories of unstructured text can be a challenge. This article explains a Python-based approach to implementing an efficient document search system using FAISS (Facebook AI Similarity Search) for Vector DB and sentence embeddings, which can be useful in applications like chatbots, document retrieval, and natural language understanding. In this […]
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Enhancing SQL Server Searches with Elasticsearch and Python
Learn how to get started with Elasticsearch with data in your SQL Server database.
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2,426 reads
2019-12-24 (first published: 2017-08-24)
11,805 reads
Blogs
T-SQL Tuesday #193 - Notes to Self
By alevyinroc
T-SQL Tuesday is a monthly blog party hosted by a different community member each...
T-SQL Tuesday #193 – Notes to my past self and from my future self
By DataOnWheels
It has been a while since my last T-SQL Tuesday blog. When I saw...
T-SQL Tuesday #193 – Notes to past and future me
The last T-SQL Tuesday of the year is hosted by my good friend Mike...
Forums
What is the PRODUCT
Comments posted to this topic are about the item What is the PRODUCT
Metadata Driven Pipelines (Incremental Load): The Fabric Modern Data Platform
Comments posted to this topic are about the item Metadata Driven Pipelines (Incremental Load):...
Metadata Driven Pipelines (Incremental Load): The Fabric Modern Data Platform
Comments posted to this topic are about the item Metadata Driven Pipelines (Incremental Load):...
Question of the Day
What is the PRODUCT
In SQL Server 2025, what does this return?
CREATE TABLE Numbers ( n INT) GO INSERT dbo.Numbers ( n ) VALUES (1), (2), (3) GO SELECT PRODUCT(n) FROM dbo.NumbersSee possible answers