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:
Tuesday December 10, 2024, 12noon CET | 4:30pm IST | 8pm JST | 10pm AEDT
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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
Tibs
Learn moreDeveloper 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.
Celeste Horgan
Learn moreDeveloper Educator, Aiven
Celeste is a Developer Educator at Aiven, where she focuses on bringing delightful, and creative content to Aiven’s tens of thousands of users. In previous roles, she’s acted as a documentation partner and advisor to the CNCF’s portfolio of open source projects, as an approver and Code of Conduct Committee member in the Kubernetes open source project, and as a team lead in documentation teams across a number of companies. In 2020 she founded the Inclusive Naming Initiative. Her work has been featured in the New York Times, and she presents frequently for global leaders in open source projects about documentation best practices.
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