Implements Retrieval-Augmented Generation (RAG) for enhanced LLM responses.
Builds complete RAG pipelines: document ingestion, chunking, embeddings, vector storage, and semantic search. Use when you need to enhance LLM responses with custom knowledge bases.
/plugin marketplace add avovello/cc-plugins/plugin install ai-integration@cc-pluginsImplements Retrieval-Augmented Generation (RAG) for enhanced LLM responses.
✅ Document ingestion pipeline ✅ Chunking and embedding ✅ Similarity search implementation ✅ Context injection into prompts ✅ Response generation
Working RAG system with document search and enhanced responses.
Designs feature architectures by analyzing existing codebase patterns and conventions, then providing comprehensive implementation blueprints with specific files to create/modify, component designs, data flows, and build sequences