LangChain4J Vector Stores Configuration Configure vector stores for Retrieval-Augmented Generation applications with LangChain4J. Overview LangChain4J provides a unified abstraction for vector stores (PostgreSQL/pgvector, Pinecone, MongoDB Atlas, Milvus, Neo4j) with builder-based configuration, metadata filtering, and hybrid search support. When to Use - Configuring vector stores for semantic search and RAG applications - Setting up embedding storage with metadata filtering and hybrid search - Optimizing vector database performance for production AI workloads Instructions Set Up Basic Vector…