Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
npxskills add sickn33/antigravity-awesome-skills--skill rag-implementationLoading…
Specialized workflow for implementing RAG (Retrieval-Augmented Generation) systems including embedding model selection, vector database setup, chunking strategies, retrieval optimization, and evaluation.
Use this workflow when:
ai-product - AI product designrag-engineer - RAG engineeringUse @ai-product to define RAG application requirements
embedding-strategiesrag-engineer - RAG patternsUse @embedding-strategies to select optimal embedding model
vector-database-engineer - Vector DBsimilarity-search-patterns - Similarity searchUse @vector-database-engineer to set up vector database
rag-engineer - Chunking strategiesrag-implementation - RAG implementationUse @rag-engineer to implement chunking strategy
similarity-search-patterns - Similarity searchhybrid-search-implementation - Hybrid searchUse @similarity-search-patterns to implement retrieval
Use @hybrid-search-implementation to add hybrid search
llm-application-dev-ai-assistant - LLM integrationllm-application-dev-prompt-optimize - Prompt optimizationUse @llm-application-dev-ai-assistant to integrate LLM
prompt-caching - Prompt cachingrag-engineer - RAG optimizationUse @prompt-caching to implement RAG caching
llm-evaluation - LLM evaluationevaluation - AI evaluationUse @llm-evaluation to evaluate RAG system
User Query -> Embedding -> Vector Search -> Retrieved Docs -> LLM -> Response
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Model Vector DB Chunk Store Prompt + Context
ai-ml - AI/ML developmentai-agent-development - AI agentsdatabase - Vector databases
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).