From Messy Documents to Search-Ready Data with Unstructured & Elastic

The Austin Elastic User Group is kicking off the New Year with an in-person meetup on Thursday, January 22nd. Join us for an evening of real-world Elastic use cases, technical talks, and networking with the Elastic community.

🔍 What we’ll cover:

• Turning messy, unstructured documents into clean, searchable data using Unstructured + Elasticsearch
• Building AI-powered e-commerce search experiences with Elastic semantic search and AI agents

⚡️ Interested in giving a talk? ⚡️
Are you interested presenting on your Elastic use case? We welcome 5-10 minute lightning talks, 45-minute deep dives, and everything in between. If you're interested, please send an email to meetups@elastic.co

📅Date and Time:
Thursday, January 22nd, from 5:30-8:00 pm CDT

📍Location:
Elastic Austin Office: 8th Floor
823 Congress Ave
Austin, TX 78701

🚗 Parking:
Parking options nearby include several garages or street parking in nearby blocks. Check out SpotHero to reserve a parking spot in advance!

🪧 Arrival Instructions:
When you arrive at the office, head to the 8th floor.

The main entrance to the building is on 9th Street, between Congress Ave and Brazos St.

📝 Agenda:

• 5:30 pm: Doors open
• 6:00 pm: Building Smarter E-commerce Search with Elastic Semantic Search & AI Agents - Srinivas Chilakapati (Principal Consulting Architect at Elastic)
• Break
• 6:45 pm From Messy Documents to Search-Ready Data with Unstructured & Elastic - Mike Downes (AI Solutions Engineer at Unstructured)
• 7:15-8:00 pm: Networking

💭 Talk Abstracts:
Mike Downes (AI Solutions Engineer at Unstructured)
Most real-world data doesn’t show up in a neat format—it shows up as PDFs, docs, and random files that are painful to search. Come learn how Unstructured and Elasticsearch work together to turn those messy documents into clean, search-ready data. We’ll go end-to-end from raw files to indexed content and show how better parsing and metadata make search (and RAG) work a lot better.

Building Smarter E-commerce Search with Elastic Semantic Search & AI Agents - Srinivas Chilakapati (Principal Consulting Architect at Elastic)
Building a smarter e-commerce search using Elastic's semantic search and agent builder. By integrating with Large Language Models (LLMs) for Natural Language Understanding (NLU), the agent can interpret complex user queries to dynamically generate relevant filters, and execute search templates for improved precision. We will discuss how Elastic combines traditional keyword search with semantic search to deliver highly relevant results and how you can leverage Elastic's AI agent to personalize the experience by using historical purchase data to surface the most relevant products for each customer.