langchain4j-vector-store-setup

Configures LangChain4j embedding stores in Java: choosing a backend, versioning the embedding contract, ingesting with stable identity, enforcing tenant-safe filtered retrieval, hybrid search, and operational validation or migration. Use when the user asks to "set up a vector store in Java", "add RAG retrieval with LangChain4j", "ingest documents into pgvector or Pinecone", "fix vector search filters", or "migrate embeddings to another store". Not for creating cloud infrastructure unasked, bulk ingestion or deletion without approval, or Python LangChain code.

Version

v1.0.0

Size

19 KB

Updated

2026-10-02

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