New York MUG:Unifying data with Grafana Plugins & Retrieval-Augmented Generation

You must register here to secure your spot: https://www.mongodb.com/community/events/form/t/290967?rsvpStatus=false&ref=forums

Join us for the MongoDB User Group event in New York on August 14th! Learn how Grafana can simplify your data management by bringing everything into one easy-to-use dashboard and how organizations can use the knowledge resources they ingest for RAG to fuel growth and productivity. Use cases for knowledge resources covered in this presentation include: traditional natural language processing, fine-tuning models, and creating knowledge APIs for AI agents to consume. Plus, Get the quiz right and get some cool MongoDB swag!

Sessions

1. Unifying Data with Grafana Plugin: Does having multiple tabs open for different tools in order to troubleshoot a problem sound like your current reality? In this presentation, we’ll walk through Grafana dashboards that eliminate the need for all those tabs, allowing you to track in one place, in real time, service KPIs such as availability and health.

During this presentation you’ll learn about:

• Visualizing data and performing analytics on that data in one place, without storing it in another place.
• Querying, visualizing, and alerting on metrics stored in almost any data source.
• Using Grafana’s plugin architecture, which offers instant access to 300+ data sources, including Enterprise plugins for Elasticsearch, Jira, Datadog, Splunk, AppDynamics, Oracle, MongoDB, Snowflake, ServiceNow, and more.
• Using Grafana to lower MTTI/MTTR.

2.**Knowledge is the New Uranium** by Ben Perlmutter, Sr. Engineer at MongoDB: It's long been said that "data is the new oil". With the recent rise of generative AI technologies, we have a new event, a more precious digital resource fueling the digital economy: knowledge. Retrieval-augmented generation (RAG) has presented a first generative AI use case for organizations to use their knowledge resources, like documentation, knowledge bases, and code repositories. This talk explores various other ways that organizations can use the knowledge resources they ingest for RAG to fuel growth and productivity. Use cases for knowledge resources covered in this presentation include: traditional natural language processing, fine-tuning models, and creating knowledge APIs for AI agents to consume. Attendees will come away from this talk with actionable guidance on how they can leverage their knowledge resources for maximum efficacy.