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When using only an LSN to track which changes you have processed, you can lose data. This article shows how to avoid this problem.
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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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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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Learn how to get started with Elasticsearch with data in your SQL Server database.
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2019-12-24 (first published: 2017-08-24)
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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...
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When I use QUOTENAME(), I can optionally provide the character used to surround the string in the result. Can I use any character?
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