genai

Use for Ruby AI/LLM work - retrieval pipeline architecture (RAG, RRF hybrid retrieval, clause-level SFL chunking, pgvector), LLM agents, MCP servers, the RubyLLM client (multi-provider chat, tool calling, streaming, embeddings, structured output, acts_as_chat, MCP client), and typed dspy.rb programs (Sorbet signatures, Predict/ChainOfThought/ReAct/CodeAct, DSPy::Module, Toolsets, DSPy::Evals, MIPROv2/GEPA). Trigger on 'RAG', 'LLM agent', 'semantic search', 'ruby_llm', 'RubyLLM.chat', 'tool calling', 'structured output', 'acts_as_chat', 'MCP client', 'dspy', 'DSPy::Signature', 'typed LLM output', 'prompt optimization', 'GEPA', 'MIPROv2'. For tokenization/tagging/lexical tools see ruby-nlp.