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Part 2: Introduction to Vector Search Vector search is a powerful technique that uses mathematical similarity to identify and retrieve related data efficiently. This Part 2 webinar of the community series with Weaviate offers an introduction to vector search, explaining its core principles, limitations, and how it scales with advanced technologies like vector databases. What we will cover: Understand how similarity is calculated mathematically and its role in data retrieval. Explore what basic search lacks when applied at scale. Focus on Approximate Nearest Neighbor (ANN) algorithms, particularly HNSW, and how it optimizes performance. Gain insights into CRUD operations and how traditional database features are integrated. See a practical demo of implementing vector search over the entire Wikipedia dataset using Weaviate. #vectorsearch #vectorembeddings #vector #embeddingmodel ------- Table of Contents: 0:07 Introduction to Vector Search 0:24 Overview of Vector Databases and Vector Search 2:26 Keyword Search Explanation 4:19 Introduction to Vector Search Algorithms (k-NN) 7:11 Implementing Vector Search in Python 11:08 Performance at Scale: k-NN vs. ANN Algorithms 17:15 Weaviate’s Custom HNSW Implementation 19:23 Multimodal and Multilingual Vector Search 22:15 Hybrid Search: Combining Keyword and Vector Search 24:01 Challenges of Scaling Vector Search 28:44 Demo: Implementing Vector Search with Weaviate 35:06 Streamlit Integration for Vector Search 41:26 Advanced Applications and AI Agents 44:09 Audience Q&A and Closing Remarks ------- 💼 Learn to build LLM-powered apps in just 40 hours with our Large Language Models bootcamp: https://hubs.la/Q01ZZGL-0 👉 Learn more about Data Science Dojo here: https://datasciencedojo.com/ 👉 Watch the latest video tutorials here: https://datasciencedojo.com/tutorials/ 👉 See what our past attendees are saying here: https://datasciencedojo.com/data-scie... -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 8000+ employees from over 2000+ companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- 🔗 Subscribe to our newsletter for data science content & infographics: https://datasciencedojo.com/newsletter/