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
1,191 reads
Introduction Conversations about RAG almost always start with a vector database. This article suggests you dig deeper before implementing one.
2026-06-19
1,191 reads
This article shows how you can generate embeddings in SQL Server 2025, store them, and use them in your queries.
2026-06-08
2,522 reads
Learn about using SQL Server to support AI-enhanced search queries with the Relational Embedding Retrieval Pattern (RERP).
2026-04-24
1,908 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
9,689 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
3,950 reads
Introducing azsql-migration-test, a small open-source CLI that validates your Azure SQL Database migrations against...
By DataOnWheels
I have been asked many times about how the name “Data on Wheels” came...
Fabric inbound network protection involves two tenant-level controls: Private Link and Block Public Internet...
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On SQL Server 2025, does DBCC CHECKDB support Memory-Optimized tables?
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