Cybersecurity Search Infrastructure, RAG-Ready Unstructured Data & ELSER
This is an in-person event! Registration is required to get in.
Topic: Put your data to work — ingest and enrich data, search it with the power of machine learning.
Who should attend: Anyone interested in talking and learning about data, search, and GenAI.
What we’ll do:
Have some food and refreshments. Hear three exciting talks. Network with fellow developers.
5:00: Say hi, have a snack, and grab a seat
5:15: Udbhav Prasad, Software Engineer at Stairwell
6:00: Maria Khalusova, Developer Advocate at Unstructured.io
6:40: Sunile Manjee, Solutions Architect at Elastic
7:00: Networking
Elasticsearch at Stairwell: Journey to developing the cybersecurity search infrastructure: Udbhav Prasad (Software Engineer at Stairwell)
Stairwell enables real-time threat hunting and detection of potentially malicious executables across all the files seen in your organization. Through comprehensive analysis, Stairwell extracts and exposes a wealth of metadata for each file ingested into the platform. This talk outlines our journey in developing the search infrastructure for the Stairwell platform using Elasticsearch, detailing the scalability and operational challenges we encountered and how we overcame them.
Making unstructured data ready for RAG with Unstructured.io and Elasticsearch: Maria Khalusova (Developer Advocate at Unstructured.io)
Unstructured data holds immense potential, especially for Generative AI (GenAI) applications such as Retrieval-Augmented Generation (RAG). However, the diverse array of unstructured file types and sources presents unique preprocessing challenges that are difficult to accommodate for with traditional ETL. In this talk you’ll learn about Unstructured.io, a solution for preprocessing data from 25 different unstructured file types, including PDFs, PowerPoint presentations, markdown files, emails, and more. We’ll talk about extracting valuable textual data and associated metadata from these varied formats into a standardized JSON structure. This processed data can then be easily integrated into Elasticsearch for advanced analysis or use in RAG applications. By the end of the talk, you will know how to organize your data preprocessing to enable better use of unstructured data for RAG and more.
ELSER, you know, for semantic search: Sunile Manjee (Solutions Architect at Elastic)
We are looking for speakers: If you’re interested in speaking at an upcoming event, reach out to Philipp.
Parking: This Elastic office does not offer parking. Below are a few recommendations for nearby public parking garages (at your own expense):
The White House Garage: 223 Sutter St, San Francisco, CA 94108
Post Montgomery Center Garage: 173 Sutter St, San Francisco, CA 94101
Paramount Garage: 177 Jessie St, San Francisco, CA 94105