Pinecone

Building RAG with Spring AI and Pinecone (Cloud Solution)

18 December 2025·1859 words·9 mins

Spring AI Cloud Architecture Spring Boot RAG Pinecone Vector Database OpenAI Java Generative AI

We explore how to bridge the gap between your private enterprise data and Large Language Models (LLMs) using Spring AI. This tutorial covers the end-to-end implementation of a RAG architecture, utilizing Pinecone as a managed cloud vector store for high-performance context retrieval.

Vector Database Comparison: Pinecone vs Milvus vs pgvector

13 December 2025·1779 words·9 mins

Spring AI Architecture Vector Database RAG Pinecone Milvus PostgreSQL Java Spring Boot GenAI

Selecting the right vector store is the critical architectural decision in building RAG applications. This guide compares the three market leaders—Pinecone (SaaS), Milvus (Cloud-native), and pgvector (PostgreSQL extension)—specifically through the lens of Spring AI integration, configuration, and long-term operational costs.

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