Elastic + AWS UG Bengaluru September Meetup (AWS, Observability, GenAI)

Details
AWS and Elastic Meetup in Bengaluru is a collaborative event with the AWS User Group Bengaluru. Explore the latest advancements in observability and generative AI. Discover how AWS and Elastic solutions can enhance your cloud applications and drive innovation.

Note: Please note that entry is strictly limited to those who will receive the confirmation email. Unfortunately, we will not be able to accommodate any ad-hoc entries on the day of the event. RSVPing on Meetup should not be treated as a confirmation. Kindly add yourself to the waiting list. We will review the waitlist 3 days prior to the event.

Agenda

10:00 - 10:15 | Opening Note What's new in Elastic by Ashish Tiwari, Community Manager, Senior Developer Advocate, Elastic

10:00 - 10:45 | No code RAG using Elastic playground with AWS Bedrock
by Someshwaran M Senior Support Engineer, Elastic

Description - Retrieval augmented generation (RAG) is a technique that supplements text generation with information from private or proprietary data sources. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) like Amazon Titan, Anthropic Claude, Cohere Command R etc with a single API. In this talk, We are going to split our data into chunks, indexing those documents and respective embeddings in Elasticsearch using semantic text. We will learn how to perform semantic search to retrieve relevant data / context and build question-answer capability with Amazon Bedrock.

10:45 - 11:30 | Enhanced observability with AI assistant by Ranjini Ganeshan , Senior Software Developer Trellix

Description - Elastic AI Assistant enhances SRE efficiency by providing context-aware chat interactions. It leverages conversational AI and Elastic Observability to interpret logs, optimize code, generate reports, and execute runbooks. This empowers SREs to resolve issues faster, foster collaboration, and unlock valuable insights for building better software.

11:30 - 12:15 | LamRAG: From Data to Constructive Insights using Amazon Bedrock and Elastic Vector DB by Sandeep Kumar P, Principal Solutions Architect, AntStack

Description - In this session, we’ll show that concepts like Prompt Engineering, Vector Databases, Retrieval-Augmented Generation (RAG), Agents, and Multi-Stage Flows are only complex because they haven’t been explained well. We’ll break these ideas down using a practical use case, making them easy to grasp and apply.
Get ready to dive into AI with clarity and confidence as we transform complex concepts into manageable, actionable insights.