Скачать с ютуб Vector Similarity Search with PostgreSQL's pgvector by Amit kumar/Prasanth borse/Jitender kumar в хорошем качестве

Vector Similarity Search with PostgreSQL's pgvector by Amit kumar/Prasanth borse/Jitender kumar

The tech talk delves into similarity search and it’s benefit by implementing it through pgvector, which is an open-source extension that enables efficient vector similarity searches within PostgreSQL databases. It explains the underlying principles of vector embeddings and how pgvector leverages indexing techniques to accelerate similarity queries. Additionally, the talk presents practical examples and code snippets demonstrating how to set up and utilize pgvector for vector similarity search use cases. It covers topics like recommendation system, indexing, and querying for similar vectors based on a given input vector. PS:- The audio have some issues