Next-Level Features of LangChain4j for Production-Ready AI Applications by Lize Raes
IntelliJ IDEA, a JetBrains IDE
8,998 views
Join Lize for a tour of the latest features in LangChain4j. The team at LangChain4 built an AI researcher agent that can discover new drugs, showcasing important features for production-ready apps: tools for moderation, architectural strategies for integrating multiple LLMs and agents, and robust evaluation methods for non-deterministic applications. In this session, we’ll address critical aspects for businesses, including the selection of local or commercial models and their pricing, data privacy, and observability. Additionally, we’ll present advanced retrieval-augmented generation (RAG) techniques to accurately ground your models with dynamically retrieved information from documents, databases, and the web.
Speaker: Lize Raes
Lize Raes is a Product Manager and Developer Advocate at Naboo, where she helps build the developer productivity toolbox of the future. As a collaborator at LangChain4j, she loves inspiring developers to apply AI in real-world applications. Committed using technology to address societal challenges, Lize has embraced roles such as cochlear implant researcher at Ghent University, bioinformatics engineer for drug development software, and advisor to the Belgian government during COVID-19. In her free time, you will find her behind the piano or in her woodworking atelier.
#LangChain #AI #LLM #RAG
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Next-Level Features of LangChain4j for Production-Ready AI Applications by Lize Raes
IntelliJ IDEA, a JetBrains IDE
8,998 views
Join Lize for a tour of the latest features in LangChain4j. The team at LangChain4 built an AI researcher agent that can discover new drugs, showcasing important features for production-ready apps: tools for moderation, architectural strategies for integrating multiple LLMs and agents, and robust evaluation methods for non-deterministic applications. In this session, we’ll address critical aspects for businesses, including the selection of local or commercial models and their pricing, data privacy, and observability. Additionally, we’ll present advanced retrieval-augmented generation (RAG) techniques to accurately ground your models with dynamically retrieved information from documents, databases, and the web.
Speaker: Lize Raes
Lize Raes is a Product Manager and Developer Advocate at Naboo, where she helps build the developer productivity toolbox of the future. As a collaborator at LangChain4j, she loves inspiring developers to apply AI in real-world applications. Committed using technology to address societal challenges, Lize has embraced roles such as cochlear implant researcher at Ghent University, bioinformatics engineer for drug development software, and advisor to the Belgian government during COVID-19. In her free time, you will find her behind the piano or in her woodworking atelier.
#LangChain #AI #LLM #RAG
Join us:
Website: https://jb.gg/website
Blog: https://jb.gg/blog
X: https://x.com/intellijidea
Bluesky: https://bsky.app/profile/intellijidea...
LinkedIn: LinkedIn: intellijidea
Facebook: Facebook: IntelliJIDEA
Download IntelliJ IDEA: https://jb.gg/download-intellij-idea
Top 15 IntelliJ IDEA shortcuts: https://jb.gg/Top15IntelliJIDEAShortcuts