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
1,375 reads
Introduction Conversations about RAG almost always start with a vector database. This article suggests you dig deeper before implementing one.
2026-06-19
1,375 reads
This article shows how you can generate embeddings in SQL Server 2025, store them, and use them in your queries.
2026-06-08
3,314 reads
Learn about using SQL Server to support AI-enhanced search queries with the Relational Embedding Retrieval Pattern (RERP).
2026-04-24
2,084 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
10,510 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
4,216 reads
By Steve Jones
This is timely, as I’m currently on a boat in the Adriatic taking a...
You can find the slides and SQL scripts for my session “Spice up your...
By SQLPals
How to Clear the SSMS Cache (SSMS 21 and Later) Updated...
Comments posted to this topic are about the item Risk Vs Reward, The never...
Comments posted to this topic are about the item Hyperscale Replicas IV
Comments posted to this topic are about the item The SQL Server Date Magic:...
In Azure SQL Database Hyperscale Edition, how many geo-replicas can be created?
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