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langchain4j-vector-stores-configuration

38 stars 2 forks Updated Dec 24, 2025
40.2

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.

Commands Marketplace
#vector store#vector#Store Scenario#store#stores
Also in: api ci cd javascript

Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation

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skilz install giuseppe-trisciuoglio_developer-kit/langchain4j-vector-stores-configuration
skilz install giuseppe-trisciuoglio_developer-kit/langchain4j-vector-stores-configuration --agent opencode
skilz install giuseppe-trisciuoglio_developer-kit/langchain4j-vector-stores-configuration --agent codex
skilz install giuseppe-trisciuoglio_developer-kit/langchain4j-vector-stores-configuration --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

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Download Skill ZIP

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

1. Clone the repository:
git clone https://github.com/giuseppe-trisciuoglio/developer-kit
2. Copy the skill directory:
cp -r developer-kit/skills/langchain4j/langchain4j-vector-stores-configuration ~/.claude/skills/
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Need detailed installation help? Check our platform-specific guides:

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Details

Owner
giuseppe-trisciuoglio
Repository
developer-kit
Stars
38
Forks
2
Type
Technical
Meta-Domain
data ai
Primary Domain
database
Sub-Domain
search vector
Skill Size
31.7 KB
Files
3
Quality Score
40.2

AI-Detected Topics

Extracted using NLP analysis

vector store vector Store Scenario store stores

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