Elastic & LangChain NYC Meetup

Join the NYC Elastic User Group and LangChain on Wednesday, June 26th at 5:00 pm for a meetup at South Park Commons. We will have lightning talks, followed by networking, pizza, and refreshments.

🎉 Thank you to South Park Commons for hosting this meetup! SPC is a home for the most talented technologists figuring out what's next—a community designed to turn the chaos of possibility into the clarity of conviction. Whether you're exploring startup ideas, refining your thinking on a new product, or looking to dive into a new domain, we're here to help you get from -1 to 0.

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Date & Time:
Wednesday, June 26th, from 5:00-7:30 pm EDT

Location:
South Park Commons - 36 Cooper Sq floor 6, New York, NY 10003

Meetup Hosts:

• Jessica Garson - Sr. Developer Advocate at Elastic
• Ben Mangum - LangChain
• Dylan Itzikowitz - South Park Commons

Agenda:

• 5:00 pm: Doors open; say hi, grab a seat, and eat some food.
• 5:30: Lightning talks
• 7:00 - 7:30 pm: Networking & refreshments

Talk Abstracts:

RAG agent using LangGraph (LangChain’s opensource agentic framework) (Vadym Barda / SWE @ LangChain

*

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

Building High-Accuracy Agents for High-Risk Industries - Can Uncu (Co-founder & CTO of Asepha)

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.

Productionizing RAG in Big Tech v Startup - Seungwoo Son: VP of Applied AI at wealth.com, former applied scientist at Microsoft

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

Building a Developer Agent Workforce with LangChain and Tools - Dev Verma (OBTO)

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.

Elasticsearch/Data Ingestion (Elastic + LangChain) - Jess Garason (Sr. Developer Advocate at Elastic)

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.

Building a Developer Agent Workforce with LangChain and Tools - Dev Verma (OBTO)

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.

How I built an assistant to manage and deepen my relationships using Langchain - Arjun Ram

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