configuration▌

NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more).

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Migrate supported instruction files, skills, agents, and MCP config into Codex project and global files.

LangChain4J vector store configuration for RAG applications with multiple database backends. \n \n Supports PostgreSQL/pgvector, Pinecone, MongoDB Atlas, Milvus, Neo4j, and in-memory stores with unified abstraction \n Includes document ingestion pipelines with configurable chunking, metadata filtering, and batch operations \n Provides production patterns for connection pooling, health checks, monitoring, and index optimization \n Covers semantic search implementation, multi-store setups, and dim

Comprehensive guide to implementing mutual TLS for zero-trust service mesh communication.

Comprehensive guidance for configuring and using ShellCheck to improve shell script quality, catch common pitfalls, and enforce best practices through static code analysis.

Use this skill when:

Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules.

Implement autoscaling strategies to automatically adjust resource capacity based on demand, ensuring cost efficiency while maintaining performance and availability.