In this talk, I will demonstrate how we leverage LangChain embedded in OBTO's application development platform to create developer agents capable of building and updating end-to-end web applications. OBTO introduces an innovative approach to structuring applications, which, combined with effective prompt engineering and fine-tuned models, significantly enhances the accuracy of these agents. Our platform ensures seamless communication across the tech stack using a unified language, and it incorporates flexible ways to optimize and manage the performance of these interactions. Additionally, OBTO enables continuous feedback loops to refine and improve the agent setups, ensuring a robust and efficient development process.

We’ve built North America's most capable pharmacy agents using LangChain and Elasticsearch, securing over $1M in pre-seed funding and serving pharmacy chains with over a thousand stores. I was at the Google Montreal office 2 weeks ago sharing my experiences at a genAI panel. I’d love to give a lightning talk at the Elastic and LangChain NYC Meetup on building high-accuracy agents for high-risk industries. Healthcare is a tough industry but LangChain helped us tremendously. Our journey through due diligence and navigating legacy sectors could offer valuable insights.

Earlier this month, my band did a run of shows in the Shanghai area, and there were some press clippings in Chinese that I needed to translate. I built an example application that translates the text of these clippings from Chinese to English using Doctran and uses vector search in Elasticsearch to learn more about the translated documents.

Discover how evaluations and LangSmith helped improve its performance and effectiveness.

In this talk, I'll cover the challenges of productionizing RAG in big tech vs startup: Latency/Throughput; Achieving High-Precision; Responsible AI; Grounding; Inferencing Cost

Introduce LangGraph; Demo notebook of a RAG agent built w/ LangGraph; Demo some upcoming products from LangChain