langchain4j-vector-stores-configuration

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.

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Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install giuseppe-trisciuoglio/developer-kit/langchain4j-vector-stores-configuration

OpenCode (CLI) Fast

skilz install giuseppe-trisciuoglio/developer-kit/langchain4j-vector-stores-configuration --agent opencode

OpenAI Codex (CLI) Native

skilz install giuseppe-trisciuoglio/developer-kit/langchain4j-vector-stores-configuration --agent codex

Gemini CLI (Project) Project

skilz install giuseppe-trisciuoglio/developer-kit/langchain4j-vector-stores-configuration --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/giuseppe-trisciuoglio/developer-kit

2. Copy the agent skill directory:

cp -r developer-kit/skills/langchain4j/langchain4j-vector-stores-configuration ~/.claude/skills/

Owner: giuseppe-trisciuoglio (GitHub)
Repository: developer-kit
Type: Non-Technical
Meta-Domain: general
Primary Domain: general
Sub-Domain: database search vector
Market Score: 24

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