July 2025
Intermediate to advanced
412 pages
11h 41m
English
Content preview from LangChain for Life Sciences and Healthcare
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Chapter 10. LangChain for Enterprise
Welcome to the final chapter! Here, we will focus on guardrails, policies, and best practices to be considered and applied while developing, deploying, serving, and managing generative AI applications in a production environment. We will review and discuss alternatives and add-ons from LlamaIndex and Haystack as well as multi-agent frameworks such as AutoGen and CrewAI. The extended code can be found in the LangChain4LifeSciencesHealthcare repo.
So far, we’ve explored LangChain’s use in research and assistance. However, as the generative AI boom continues, its life sciences and healthcare applications will rapidly expand. New fields are emerging, including AI-powered precision medicine, AI-assisted radiology, and many others. LangChain plays a critical role by enabling such use cases as automated literature review, knowledge retrieval, intelligent querying of complex medical datasets, multi-agent chat conversations, and many others covered in the previous chapters. As commercial adoption increases, AI is poised to further transform how healthcare and life sciences operate at scale.
This chapter will cover guardrails, best practices, and policies you must consider when building a public generative AI application. We’ll look into ways to evaluate the performance of LLMs and generative AI applications and discuss some LangChain and LangGraph alternatives and add-ons.
Note
As generative AI evolves, new frameworks might appear, and existing ones ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.