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Three months into a contract with a mid-sized insurance company, I was sitting across from their CTO watching their "AI knowledge base" answer questions about their own products. The system retrieved the right documents 90% of the time. But on anythi...

Retrieval-Augmented Generation (RAG) is becoming the go-to pattern for building AI systems that can fetch real-time or domain-specific knowledge on demand. But RAG alone doesn’t make your chatbot smart. With LangGraph, you can build stateful, agent-l...

🗝 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...

🗝 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...
