iMessage MCP Server

""" iMessage RAG (Retrieval-Augmented Generation) module. Provides semantic search over iMessage conversations using embeddings and vector similarity search. Components: - chunker: Groups messages into embeddable conversation windows - embedder: Generates embeddings (OpenAI or local) - store: ChromaDB vector store for similarity search - retriever: Combines search with context synthesis """ from .chunker import ConversationChunker, ConversationChunk from .store import MessageVectorStore __all__ = [ "ConversationChunker", "ConversationChunk", "MessageVectorStore", ]