Session

Building Vector Search Solutions for Text, Images, and Video Content

Data exploration has moved beyond text; now data encompasses images and videos. In today's data-driven world, processing and analyzing large volumes of data efficiently is crucial for many applications. Let's explore together the concept of RAG and how to create and manage text and image embeddings for similarity searches in a PostgreSQL database. We'll dive into a practical example using Python to show you how to create vector bases of images and text for smarter searches. Additionally, we'll explore how to search and understand videos

Let's explore together the concept of RAG and how to create and manage text and image embeddings for similarity searches in a PostgreSQL database. We'll dive into a practical example using Python to show you how to create vector bases of images and text for smarter searches. Additionally, we'll explore how to search and understand videos.

Elizabeth Fuentes Leone

Developer Advocate

Puente Alto, Chile

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