World Congress 2025 • Aug 20, 2025 • Session details

How to Decipher User Uncertainty with GenAI and Vector Search

Ben Greenberg

Why do traditional search engines fail at vague user queries? Discover how vector search and open-source GenAI create a semantic memory layer to flawlessly decode uncertainty.

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#1 about 5 min

Solving user search intent and data ambiguity challenges

Ambiguous application data and unstructured natural language queries require semantic categorization to prevent frustrating user drop-off.

#2 about 3 min

Understanding vectors and semantic data embeddings

Translating the semantic and linguistic properties of data into multidimensional arrays enables powerful conceptual indexing.

#3 about 2 min

Measuring distance and closeness in vector space

Applying core mathematical operations allows applications to reliably calculate the conceptual alignment between different data objects.

#4 about 5 min

Demystifying embedding models and generative pre-trained transformers

Machine learning transformers analyze input contexts to capture underlying entity relationships and accurately predict consecutive data states.

#5 about 6 min

Providing context for retrieval augmented generation and agents

Vector embeddings function as the fundamental memory layer that empowers systemic intelligent agents to accurately plan and execute.

#6 about 7 min

Building a decentralized digital commons for foundation models

Embracing open-source distributed computing frameworks ensures transparency and operational autonomy over foundational data modeling methodologies.

Matching moments

3:00 min

Introduction to generative AI and vector search

Mary Grygleski Mary Grygleski · LIVE

3:46 min

Substituting traditional classification models with search-based AI architecture

Erik Bamberg · LIVE

1:24 min

Expanding AI capabilities using retrieval-augmented generation

Cedric Clyburn Cedric Clyburn · World Congress 2024

2:38 min

Enabling contextual responses with retrieval-augmented generation and vector databases

David Leconte David Leconte +1 · World Congress 2024

8:55 min

Audience questions on data integration and future action models

Vijay Krishan Gupta +1 · LIVE

1:39 min

Enabling semantic search with automated query vectorization

Iulia Feroli Iulia Feroli · LIVE