20 results for tag "rag-implementation"
A production-ready plugin system with 112 AI agents, 146 skills, 16 workflow orchestrators, and 79 development tools organized into 73 focused plugins for Claude Code.
Implements retrieval-augmented generation (RAG) by efficiently embedding, storing, and semantically searching external knowledge sources to ground LLM responses.
A large collection of Claude Code skill templates sponsored by Z.AI, providing ready-to-use development skill configurations across various domains.
A comprehensive developer toolkit providing Claude Code skills and plugins for software development workflows, code quality, and productivity.
Implements Retrieval-Augmented Generation (RAG) to enable LLMs to access and ground responses in external knowledge sources via semantic search and vector databases.