关于
This skill provides a comprehensive suite of implementation patterns for building Retrieval-Augmented Generation (RAG) applications using the LlamaIndex framework. It includes automated setup scripts, customizable templates for basic and multi-document RAG, and advanced retrieval strategies such as hybrid search, reranking, and metadata filtering. Designed to bridge the gap between prototype and production, this skill offers the necessary scaffolding for creating scalable knowledge bases, conversational AI with memory, and complex document parsing workflows via LlamaCloud integration.
