Tutorial: Build a Personal Health RAG System Using Apple HealthKit and Pinecone

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A new developer tutorial published on DEV Community walks through building a Retrieval-Augmented Generation (RAG) pipeline for personal health data. The guide uses Apple HealthKit and Google Health Connect exports as source data, processing them with DuckDB to downsample high-frequency metrics like heart rate before vectorization. LangChain and OpenAI Embeddings are then used to convert structured health summaries into searchable vector documents stored in Pinecone. The end result is a system that allows users to query their own biometric history using natural language questions. The tutorial targets Python 3.10+ developers and requires API access to Pinecone and OpenAI.

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