Description:

Imagine being able to mimic a celebrity’s look with a screenshot. Users could use the image to quickly find clothing sold online that matches the style. But, this is not the search experience of today.

Customers struggle to find what they need, and if they can’t, they'll leave. Some of them don't remember the name (keyword) of what they are looking for, but have an idea of what it looks like or the actual image. With vector search, an integrated capability in Elastic, organizations can implement similarity image search, also known as reverse image search. This helps organizations create a more intuitive search experience so customers can easily search for what they are looking for with just an image.

We’ll go behind the scenes to better understand the architecture required to apply vector search to image data with Elasticsearch. We will perform image search on some sample eCommerce products and bollywood actors data. We will perform a query like "black casual shoes" or "Men with sunglasses" on unlabelled data. This will not just show the relevant images but also show the recommended similar products.

Prerequisites:

Having little knowledge of python and LLMs concept will be add on.

Speaker Info:

Having experience in Software & Email Industry. Currently, I am working as a Senior Developer Advocate, India at Elastic. Started journey with Software Engineer. Throughout the journey, I got the opportunity to work with great minds on various stacks, databases & programming languages. Worked with various types of use cases and contributed to the solutions. I have been wearing multiple hats as a startup guy so got a chance to work on system design, scaling, system architect, coding, maintenance, customer support, etc. It was not just tech but also marketing & Community engagement.

Nowadays playing around GenAI and Semantic search :)

Speaker Links:

Website - ashish.one.
LinkedIn - ashishtiwari93.
Twitter - @_ashish_tiwari.
Github - ashishtiwari1993.