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Vector Database Case Study with Spring Boot | Real-World AI Search System
In this lesson, we explain a real-world vector database case study using Spring Boot.
You will learn how to design an AI knowledge base with Spring Boot, pgvector, embeddings, semantic search, document chunking, Kafka ingestion, metadata filtering, RAG architecture, multi-tenancy, security, monitoring, and production deployment.
This video is perfect for Java developers, Spring Boot developers, backend developers, AI engineers, and anyone learning how to build AI-powered backend systems.
Видео Vector Database Case Study with Spring Boot | Real-World AI Search System канала Tech Pulse Labs
You will learn how to design an AI knowledge base with Spring Boot, pgvector, embeddings, semantic search, document chunking, Kafka ingestion, metadata filtering, RAG architecture, multi-tenancy, security, monitoring, and production deployment.
This video is perfect for Java developers, Spring Boot developers, backend developers, AI engineers, and anyone learning how to build AI-powered backend systems.
Видео Vector Database Case Study with Spring Boot | Real-World AI Search System канала Tech Pulse Labs
AI knowledge base Spring Boot AI search system design Kafka vector database RAG Spring Boot Spring AI vector database Spring Boot AI application Spring Boot vector search backend AI system design document search AI embeddings Java pgvector Spring Boot semantic search Spring Boot vector database Spring Boot vector database architecture vector database case study vector database tutorial
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6 июня 2026 г. 5:21:54
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