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Join us at our office on Wednesday, June 26th, for a San Francisco Elastic User Group meetup. We'll have presentation from Udbhav Prasad (Stairwell), Maria Khalusova (Unstructured.io), and Sunile Manjee (Elastic); followed by networking, light bites, and refreshments.

Date and time:
Wednesday, June 26th, from 5:00 - 7:30 pm PDT

Location:
Elastic Office - 19th Floor
88 Kearny Street, San Francisco, CA

Agenda:

  • 5:00 pm: Doors open. Say hi, grab a seat, and eat some food.
  • 5:15 pm: Elasticsearch at Stairwell: Journey to Developing the Cybersecurity Search Infrastructure - Udbhav Prasad (Software Engineer at Stairwell)
  • 6:00 pm: Making Unstructured Data Ready for RAG with Unstructured.io and Elasticsearch - Maria Khalusova (Developer Advocate at Unstructured.io)
  • 6:40 pm: ELSER, You Know, for Semantic Search - Sunile Manjee (Solutions Architect at Elastic)
  • 7:00 pm: Networking & refreshments

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](https://t.co/MgS17FqytQ), 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)

RSVP Instructions:
Visitors will need to check in at the lobby with an ID for access to the 19th floor.

Bart & Muni Information:

  • The nearest BART station is Montgomery St. Station
  • The nearest Muni Station is Market & New Montgomery

Directions & Parking:
This Elastic office does not offer parking. Below are a few recommendations for nearby public parking garages. Please keep in mind that parking is not allowed to be expensed and must be paid for on your own.

  • 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

If you’re interested in speaking at an upcoming meetup, let us know, or reach out to us at meetups@elastic.co.

Related topics

Events in San Francisco, CA
Artificial Intelligence Applications
Big Data
Elasticsearch
Elastic Stack
Observability

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