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ML Engineering Case Studies

Building ML Systems
That Actually Ship

Deep dives into production machine learning — architecture decisions, performance tradeoffs, and lessons learned building real systems with FastAPI, GCP, and Python.

Case Studies

1 posts
15 Jun 2025·12 min read

Building a Production RAG Pipeline with FastAPI and ChromaDB

A deep dive into architecting a Retrieval-Augmented Generation pipeline that handles 10k+ documents with sub-second query latency. Covers chunking strategies, embedding models, and FastAPI integration.

RAGLLMFastAPIChromaDBPython