Engineer Fixes Docker AI Agent Schema Errors by Containerizing Data Generation

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A software engineer encountered a KeyError: '_type' crash when deploying a Dockerized AI agent that used a ChromaDB vector database. The root cause was a schema mismatch: the vector database had been generated locally on Windows with Python 3.13, while the Docker container ran Linux with Python 3.11, causing ChromaDB and hnswlib to serialize metadata differently. Attempts to downgrade C-dependent packages on Windows led to build tool errors, prompting a change in approach. The fix was straightforward — running the data ingestion script inside the Docker container itself, ensuring the database was created with the same environment that would later read it. This guaranteed schema consistency, eliminating the error and allowing the AI agent to initialize successfully.

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