Machine Learning

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Vector DB implementation using FAISS

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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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2025-01-17

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SQL Server Machine Learning 2019: Working with Security Changes

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SQL Server Machine Learning allows you to run R and Python scripts from SQL Server. When SQL Server 2019 was released, Microsoft enhanced the security for this functionality, but it caused some existing code writing to the file system to to break. In this article, Dennes Torres explains the security enhancement and describes three ways to work with it.

2020-03-11

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DBCC CHECKDB Limits I

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DBCC CHECKDB Limits I

When running DBCC CHECKDB on SQL Server 2025, can I include the Resource Database?

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