Vector search powers some of the most popular services in the world. It serves your Google results, delivers the best podcasts on Spotify, and accounts for at least 35% of consumer purchases on Amazon.

In this session, we will use vector search applied to language, called semantic search, to build a GIF search engine. Unlike more traditional search, where we rely on keyword matching, semantic search enables search based on the human meaning behind text and images. That means we can find highly relevant GIFs with natural language prompts.

Topics Covered

What is Semantic Search
Semantic search Pipeline walkthrough
What is a Vector Database?
What is a retriever?
Hands on implementation of Semantic Search Pipeline to find GIFs

Notebook shared by the speaker - https://colab.research.google.com/drive/193cDeKkuJf7AcmtBMUIgsozgrD_oFpJv?usp=sharing

Semantic Search to Find GIFs

4th Feb

02:30 PM - 03:30 PM (CUT)

Plaban Nayak

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