You Probably Don't Need a Vector Database
Introduction Conversations about RAG almost always start with a vector database. This article suggests you dig deeper before implementing one.
2026-06-19
1,215 reads
Python
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 […]
2025-01-17
3,998 reads
Connecting Streamlit to Upload Data to Snowflake
How to create a connection for StreamLit and Snowflake to upload data for visualization
2024-12-20
2,559 reads
Enhancing SQL Server Searches with Elasticsearch and Python
Learn how to get started with Elasticsearch with data in your SQL Server database.
2024-10-14
2,597 reads
Machine learning K-Means applied to SQL Server data
This article shows how to use Python to access data in SQL Server and produce a K-Means analysis with a chart.
2024-01-08
3,241 reads
SQL Server and Python Tutorial
This article will show the basic outline for how Python scripts can access and work with data in SQL Server.
2023-11-06
20,825 reads
Integrating Python with MongoDB
This article gives an overview of MongoDB and outlines steps to integrate python with MongoDB
2023-10-13
854 reads
2023-11-20 (first published: 2023-10-02)
3,025 reads
Screen Scraping with Python and BeautifulSoup Code Examples
BeautifulSoup (sometimes referred to as Beautiful Soup library) is one of several widely used screen scraping packages for a web page. It is highly regarded for its ease of use and power.
Screen scraping enables developers to create solutions that permit comparative analyses from all over the internet, such as web applications that look for the best price on an item from many different online stores.
2023-08-25
Modifying MySQL data from within Python
In the previous article in this series, I introduced you to how to access MySQL data from within a Python script. The article described how to use the MySQL Connector to establish a connection with a database and then retrieve data through that connection. In this article, I continue the discussion by demonstrating how to insert, update, and delete data in a MySQL database, again working with Python and the MySQL Connector.
2023-08-04
346 reads
Blogs
TRY_PARSE Limitations: #SQLNewBlogger
By Steve Jones
I got a notification from a question I’d posted at SQL Server Central: Getting...
SQL Server sa Account Security: Rename, Disable & Best Practices
By SQLPals
SQL Server sa Account Security: Rename, Disable & Best Practices In...
Stanford Emerging Technology Review 2026 Report is out
By Brian Kelley
Artificial Intelligence and quantum computing are two areas of emerging technology that receive most...
Forums
Are You Working More Hours?
Comments posted to this topic are about the item Are You Working More Hours?
Stairway to Reliable Database Deployments Level 6 – Managing Changesets Over Time
Comments posted to this topic are about the item Stairway to Reliable Database Deployments...
A Limited Startup
Comments posted to this topic are about the item A Limited Startup
Question of the Day
A Limited Startup
I add this parameter to SQL Server 2025 in the Configuration Manager:
-mDynamicsWhat does this do? See possible answers
