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Searching for images with vector search, OpenSearch® and CLIP

Join this workshop to learn how to connect text to image search using the OpenAI's CLIP model and the OpenSearch® search engine.

Date and Time:

  • November 18, 2024 12noon CET | 4:30pm IST | 8pm JST | 10pm AEDT

Registration will be open soon!

What's in the Workshop Recipe?

Join this workshop to learn how to connect text to image search using the OpenAI's CLIP model and the OpenSearch® search engine. We'll use a multi-modal vision and language model named CLIP. This model is special in the way that it can work with both images and text interchangeably, producing embeddings for input data that is either a text snippet or an image. We'll guide you step by step to build a system to find relevant photos using Python, OpenSearch and an AI model.

Related resource in our developer center: Image recognition with Python, OpenCV, OpenAI CLIP and pgvector

Prerequisities

  • Web browser
  • A GitHub account

You’ll also need

  • An Aiven account, using our free trial

We will lead you through setting that up in the workshop, if you don’t already have one.

Workshop host

Olena Kutsenko

Senior Developer Advocate, Aiven

Olena is an expert in data, sustainable software development, and teamwork. With a background in software engineering, she's led teams and developed mission-critical applications at Nokia, HERE Technologies, and AWS. Currently, she works at Aiven where she supports developers and customers in using open-source data technologies such as Apache Kafka, ClickHouse, and OpenSearch. She is also an international public speaker and regularly presents at conferences around the world. She holds AWS Developer and Solutions Architect certifications, and is also a Confluent Catalyst.

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Tibs

Developer Educator, Aiven

Tibs has spent most of their career as a software developer, working in digital mapping, embedded Linux, and backend cloud services. At the start of 2022, they moved to Aiven and Developer Relations, where they get to learn about cool stuff and help others understand how to use it.

They are fascinated with documentation and how it is written, and have spoken on the history of text markup, and on mechanisms for automated "linting" of text.

They have attended PyCon UK since its inception, and ran the Cambridge Python User Group (CamPUG) from 2007-2022.

Pronouns are they/them or he/him.

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