Mar 2 · 6 min read · 💡 👉 Full Cookbook here: https://github.com/farzad528/azure-ai-search-python-playground/blob/main/azure-ai-search-perplexity-contextualized-embeddings.ipynb Perplexity just launched new SOTA embedd
Join discussionFeb 10 · 1 min read · If, as me, you tried to make the tutorial of this quick start of Microsoft learn: Quickstart: Full-text search in the Azure portalhttps://learn.microsoft.com/en-us/azure/search/search-get-started-portal You have encountered quite a few difficulties...
Join discussionJun 14, 2025 · 4 min read · ☕ Building a Search-Driven Customer Insight Solution with Azure AI Search 🖊️ by Meet Ved | 📅 13 June 2025 🔍 Overview As a Data Analyst passionate about unlocking value from raw data, I recently explored Azure AI Search by completing a hands-on kn...
Join discussionFeb 25, 2025 · 18 min read · 🗝 TLDR: This tutorial shows how to build AI agents that orchestrate multiple knowledge sources (SQL databases, vector database search, web search) to answer complex healthcare queries. We use Azure SQL, Azure AI Search, and Bing Grounding Tool via A...
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Feb 23, 2025 · 15 min read · 🗝 TL;DR: - For AI Engineers looking to build AI Agents, this blog explores the Agentic RAG Router. It demonstrates how to leverage OpenAI Function Calling for intelligent routing of user queries to different tools, specifically Azure AI Search for p...
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Jan 6, 2025 · 5 min read · In today's AI landscape, building reliable knowledge systems requires more than just powerful language models. Enter Retrieval-Augmented Generation (RAG) – a pattern that enhances AI responses with contextual knowledge. In this guide, we'll build a p...
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Dec 20, 2024 · 19 min read · By Pablo Salvador Lopez & Shiva Pedram, M.D.December 19, 2024 🗐 This article is for educational purposes only. The scenarios (data) are fictional, and no real patient data is used. It aims to demonstrate AI's potential in healthcare. The Future of ...
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Dec 18, 2024 · 17 min read · 💡 DISLCAIMER: This post is intended for educational purposes only. I do not claim to be an Insurance or Underwriter professional or expert. The information shared is based on a personal project and experiences with Azure OpenAI and Semantic Kernel. ...
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Dec 13, 2024 · 6 min read · 💡 DISCLAIMER: The content below is intended for educational purposes. Actual performance and outcomes will depend on your dataset, indexing strategies, and the task you’re trying to solve with your RAG pipeline. Experimentation is strongly recommend...
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Dec 10, 2024 · 9 min read · 💡 DISCLAIMER: This post is intended for educational purposes only. Actual results may vary depending on your dataset, environment, and configurations. Retrieval Augmented Generation (RAG) solutions combine Large Language Models (LLMs) with externa...
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