IncarnaMind is a retrieval-augmented generation (RAG) application that enables conversational interaction with personal documents. It implements sliding window chunking for efficient document processing and uses an ensemble retriever to query both fine-grained and coarse-grained information. The system supports multiple LLM backends including OpenAI GPT models, Anthropic Claude, and local open-source models like Llama2.