Vector Podcast

Author: Dmitry Kan

Vector Podcast is here to bring you the depth and breadth of Search Engine Technology, Product, Marketing, Business. In the podcast we talk with engineers, entrepreneurs, thinkers and tinkerers, who put their soul into search. Depending on your interest, you should find a matching topic for you -- whether it is deep algorithmic aspect of search engines and information retrieval field, or examples of products offering deep tech to its users. "Vector" -- because it aims to cover an emerging field of vector similarity search, giving you the ability to search content beyond text: audio, video, images and more. "Vector" also because it is all about vector in your profession, product, marketing and business.Podcast website: https://www.vectorpodcast.com/Dmitry is blogging on https://dmitry-kan.medium.com/
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Language: en

Genres: Education, Science, Self-Improvement

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AI Webinar - Building an AI-Ready Data Backbone
Episode 3
Friday, 10 April, 2026

Webinar I gave with AI Camp and Aiven on AI-ready data backbone, and specifically how OpenSearch unlocks AI-powered search and log analytics: https://www.aicamp.ai/event/eventdetails/W2026032610Blog post: https://dmitry-kan.medium.com/webinar-building-an-ai-ready-data-backbone-with-aiven-google-cloud-4629f97f69bdLLM/RAG/AI Agents course: https://dmitry-kan.medium.com/course-large-language-models-and-generative-ai-for-nlp-2025-98e31780de30Free tier OpenSearch: https://aiven.io/free-opensearchTime codes:1:01 Dima's intro + Vector Podcast4:56 About Aiven7:06 Why best? - Question from the audience10:22 Free Tier OpenSearch!11:57 Aiven's unifed platform12:58 OpenSearch: What and Why17:00 Why OpenSearch is AI-Ready?18:26 What Aiven's OpenSearch gives you20:44 Lexical vs semantic search22:51 Technical use cases of OpenSearch 24:17 Reference Architecture with Kafka as event processor, and OpenSearch as storage and search layer25:37 Aiven's case studies for OpenSearch26:27 When to choose OpenSearch?28:21 Demo of OpenSearch query UI32:12 Is there any advantage in using Qdrant over OpenSearch? - Question from the audience34:30 What is the vector lenght (in this demo)? - Question from the audience36:27 What are the main advantages of Aiven's OpenSearch compared to Elasticsearch? - Question from the audience32:11 Demo of Search Relevancy Workbench: visual way of searchingShow notes:- User Behaviour Insights: https://www.ubisearch.dev/- Webinar's demo code part 1: Episode download / transcribe / index: https://github.com/dimakan-dev/conduit-transcripts/blob/main/DATA_PROCESSING_GUIDE.md- Webinar's demo code part 2: Main UI and quality dashboards: https://github.com/dimakan-dev/preparing-data-for-opensearch-and-rag/blob/main/workshop/STREAMLIT_README.md