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Vector Database with PGVector and Spring AI

Vector embeddings and Vector databases are essential parts of Semantic search, Similarly search, RAG etc. In this tutorial, the basic concepts of Vector embeddings and Vector databases have been discussed. A practical project has been demonstrated using the PGVector extension of Postgres and Spring AI framework. Project repo: https://github.com/ShahMinulAmin/vect... Resources: https://www.ibm.com/think/topics/vect... https://github.com/pgvector/pgvector https://docs.spring.io/spring-ai/refe... Chapters: 00:00 Intro and Vector embeddings 06:05 Vector Similarity Metric 09:36 Embedding Model 10:33 Vector database 11:40 Demo with PGVector 15:35 Project with Spring AI 23:35 Semantic search 27:45 Run using docker 31:12 Vector Indexing 32:54 Applications of vector databases