Posts by this author

Feb 4, 2025
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Storing, querying and keeping embeddings updated: options and best practices

Embeddings and vectors are becoming common terms not only for engineers involved in AI-related activities but also for those using databases. Some common points of discussion that frequently arise among users familiar with vectors and embeddings include: Let’s tackle each one of these questions one by one starting from the very...

AIVectors
Jan 23, 2025
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Improve the “R” in RAG and embrace Agentic RAG in Azure SQL

The RAG (Retrieval Augmented Generation) pattern, which is commonly discussed today, is based on the foundational idea that the retrieval part is done using vector search. This ensures that all the most relevant information available to answer the given question is returned and then fed to an LLM to generate the final answer. While vector search...

Azure SQLAI
Jan 8, 2025
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Building a RAG-Based Smart Memory Application with Azure SQL Database

Project Mission The way people work and manage information is changing rapidly in our digital age. More and more people are struggling to keep track of all the online resources they use daily. They need a better way to save, organize, and retrieve important information from websites, articles, and other online sources. This is especially true fo...

Azure SQLAIVectors
Dec 17, 2024
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Embedding models and dimensions: optimizing the performance to resource-usage ratio

Since the release of vector preview, we've been working with many customers that are building AI solution on Azure SQL and SQL Server and one of the most common questions is how to support high-dimensional data, for example more than 2000 dimensions per vector. In fact, at the moment, the vector type supports "only" up to 1998 dimensions for an emb...

Azure SQLAIVectors
Dec 16, 2024
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Azure SQL ❤️ Python!

I recently presented at Python Day 2024 on Langchain integration. I created a slide deck that I believe can be useful beyond just the session, so I wanted to share it here for everyone's benefit. The deck covers the most common topics for a Python developer: The slide deck, which I created using the Sli.dev SDK, so t...

Azure SQLPythonSQL Bindings
Nov 6, 2024
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RAG with SQL Vector Store: A Low-Code/No-Code Approach using Azure Logic Apps

Data is at the heart of every AI application, and efficient data ingestion is critical for success. With over 1,400 enterprise connectors, Logic Apps offers unmatched access to a diverse range of systems, applications, and databases, whether hosted in the cloud or on-premises. These connectors give businesses the flexibility to keep their data wher...

Azure SQLAIVectors
Nov 6, 2024
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Exciting Announcement: Public Preview of Native Vector Support in Azure SQL Database!

Public Preview of Native Vector Support in Azure SQL Database We are excited to share that the dedicated vector data type in Azure SQL Database, which was previously available through the Early Adopter Preview, is now transitioning to Public Preview! As of today, the Vector data type and its associated functions are accessible to everyone, automat...

AIAzure SQLVectors
Oct 22, 2024
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Soccer Analytics Copilot with Azure SQL and OpenAI

The Football (aka Soccer in US 😀) Analisys Copilot provides an intuitive interface for users to interact with complex football data without needing advanced technical skills. By utilizing natural language processing, users can ask questions and retrieve detailed insights from vast datasets, including competitions, matches, teams, players, and e...

Azure SQLVectorsPython
Oct 14, 2024
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The ultimate chatbot?

RAG - Retrieval Augmented Generation - is by far one of the most common patterns today as it enables the creation of chatbots that can chat on your own data, as I described in my previous "Retrieval Augmented Generation with Azure SQL" blog post. As soon as you start to use it excitement grows, as it provides a sort of a magical experience. Experie...

Azure SQLAIVectors
Sep 26, 2024
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Build a chatbot on your own data in 1 hour with Azure SQL, Langchain and Chainlit

Chatbots are the hot topic lately, and now you can create them easily by downloading solutions like OpenWebUI, connect it to Ollama or any OpenAI compatible API, choose your favorite language model, and then run it. It just takes a few minutes and it's done. But building chatbots is not enough, you most likely want to build a chatbot on your own...

AIAzure SQLVectors