langchain4j-vector-stores-configuration

Features and purpose

Configure LangChain4J vector stores for RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.