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
1,127 reads
Introduction Conversations about RAG almost always start with a vector database. This article suggests you dig deeper before implementing one.
2026-06-19
1,127 reads
This article shows how you can generate embeddings in SQL Server 2025, store them, and use them in your queries.
2026-06-08
2,240 reads
Learn about using SQL Server to support AI-enhanced search queries with the Relational Embedding Retrieval Pattern (RERP).
2026-04-24
1,869 reads
Introduction SQL Server 2025 introduced new features, including vectors. The main purpose of vectors is to create a new semantic search with the help of AI. Modern AI models represent text as vectors (embeddings) that capture semantic meaning. Similar meanings produce vectors that are close to each other in this vector space, allowing AI systems to […]
2026-03-23
9,442 reads
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
3,877 reads
The DBA life is fraught with pain. Those battles that we endure are mostly...
Every PostgreSQL migration eventually hits the same fork in the road. The database is...
By Steve Jones
I’m off on vacation today. Which is a little weird as I just got...
Hello, I would like to ask whether it is technically possible to redirect a...
Comments posted to this topic are about the item Calculating Geometric Mean in Power...
Comments posted to this topic are about the item TempDB Facts I
Can I set Accelerated Database Recovery on tempdb?
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