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 […]
2025-01-17
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In this article, Chandra Kudumula shows how to use ML.NET to train a model for predicting costs from an insurance dataset.
2021-05-05
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
Thank you to everyone who participated in T-SQL Tuesday #198! When I wrote the...
Efficient query performance in Amazon Redshift often comes down to how well you manage...
By gbargsley
Welcome back to PowerShell Strikes Back. We’re three weeks in, and the training is...
Recently, our dev teams approach me for advice on improving their huge heap table...
After upgrading 2 Merge Replicated databases to SQL 2022 and re-establishing the Merge Replication...
Comments posted to this topic are about the item Why Your Index Isn't Being...
What are the distance metric algorithms that can be used in VECTOR_DISTANCE()?
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