langchain4j-vector-stores-configuration

SKILLWorkflowcommunity
v0.0.0giuseppe-trisciuoglioMITUpdated 3mo agoSource →

Provides configuration patterns for LangChain4J vector stores in 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 databas

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3mo agoLast update
Skill
Authorgiuseppe-trisciuoglio
Version0.0.0
LicenseMIT
CategoryWorkflow
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Provides configuration patterns for LangChain4J vector stores in 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.

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Related in rag & embeddings