Name: Unlocking Insights from Multimodal PDFs using OpenSearch and Vision-Language Models - Praveen Mohan Prasad & Mingshi Liu, AWS
Start: 2025-04-30T11:50:00+0200
End: 2025-04-30T12:30:00+0200

In-person
30 April - 1 May 2025
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Wednesday April 30, 2025 11:50 - 12:30 CEST

Zurich II

Unlock the insights hidden within unstructured PDF documents! Many PDFs contain multimodal elements like text, tables, and images, and relying solely on text-based processing risks overlooking critical information. This session explores two powerful approaches to address this challenge: building specialized pipelines that integrate OCR and ML models for handling diverse modalities, and leveraging cutting-edge Vision-Language Models like ColPali to represent multimodal data in a unified format. Join us to discover how both methods can be applied to build an intelligent conversational search application using open-source technology, OpenSearch by leveraging it's powerful search and ingest pipelines. The session includes a live demonstration to showcase practical implementations, empowering you to choose the approach that best fits your needs!

Speakers

Praveen Mohan Prasad

Analytics Specialist, AWS

Praveen Mohan Prasad is a search specialist with data science expertise who actively researches and experiments on using Machine Learning to improve search relevance. Praveen advices clients to implement and operationalise strategies to improve search experience.

Mingshi Liu

Machine Learning Engineer, OpenSearch @ AWS

Mingshi Liu is a Machine Learning Engineer at OpenSearch, primarily contributing to OpenSearch, ML Commons and Search Processors. Her work focuses on developing and integrating machine learning features for search technologies and other open-source projects.

Wednesday April 30, 2025 11:50 - 12:30 CEST
Zurich II

Praveen Mohan Prasad

Mingshi Liu

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