BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Allsikt//Article Deadline//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:003ef15996accd042048d388e5aa13ab1485451e@allsikt.tech
DTSTAMP:20260722T225916Z
DTSTART;VALUE=DATE:20260722
DTEND;VALUE=DATE:20260723
SUMMARY:How Madrigal Built a Flexible and Scalable Multi-Agent Research and Intelligence Platform for Pharma with LangChain and LangSmith
DESCRIPTION:Prototype a multi‑agent platform by normalizing data sources into tools and orchestrating subagents with Deep Agents.\n\nSource: LangChain Blog\nOpen: https://allsikt.se/article/how-madrigal-built-a-flexible-and-scalable-multi-agent-research-and-intelligence-platform-for-pharma-with-langchain-and-langsmith-7a7faa94
URL:https://allsikt.se/article/how-madrigal-built-a-flexible-and-scalable-multi-agent-research-and-intelligence-platform-for-pharma-with-langchain-and-langsmith-7a7faa94
STATUS:CONFIRMED
TRANSP:TRANSPARENT
END:VEVENT
END:VCALENDAR