Tag: LangChain

• Shipping a Multi-Agent Application on Azure: What Production Actually Looks Like

  

  Users see a chat interface. They type a question, get an answer, maybe a chart. Simple. Behind that interface, a small fleet of agents queries data, runs spend-response curves, optimizes channel allocations, and renders plots. The work is analytical, not transactional: nothing they do writes back to source systems or changes external state. Underneath all…

  jbernec

  May 27, 2026

  Multi-Agent

  #agentops, #aiagentinfra, #AIAgents, #foundry, #langgraph, #optimization, ai, artificial-intelligence, Azure, chatgpt, LangChain, LLM, technology

• Modernizing Enterprise IT & Knowledge Support with Azure-Native Multiagent AI and LangGraph.

  

  Industry: Energy Location: North America Executive Summary: AI-Driven Multi-Agent Knowledge and IT Support Solution for an Energy Industry Firm A North American energy company sought to modernize its legacy knowledge and IT support chatbot, which was underperforming across key metrics. The existing system, built on static rules and scripts, delivered slow and often inaccurate responses,…

  jbernec

  July 3, 2025

  Agentic AI

  #agenticai, #azureai, #azureaisearch, #contextengineering, #langgraph, #memorymanagement, #multiagentsystems, #responsibleai, ai, LangChain

• Enhancing Document Extraction with Azure AI Document Intelligence and LangChain for RAG Workflows.

  

  Overview. The broadening of conventional data engineering pipelines and applications to include document extraction and preprocessing for unstructured PDFs, audio, and video files is becoming more prevalent. This shift is propelled by the increasing demand for advanced generative AI applications in businesses, adhering to the RAG (Retrievable Augmented Generation) model. In this post, I will…

  jbernec

  July 10, 2024

  Retrieval Augment Generation

  Azure AI Document Intelligence, Azure AI Studio, Azure Open Ai, LangChain, LLMs, RAG, Retrieval Augmented Generation, Semantic Kernel