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Ghost in the Machine: Privacy-First Local RAG Microservice with FastAPI

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Hacktoberfest Open-Source AI Challenge: Ghost in the Machine Submission 👻🌼

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine

🌟 The Motivation: Why Open-Source AI Matters

Cloud-based AI APIs have simplified adding intelligence to applications, but they come with significant trade-offs: network latency, recurring subscription costs, rate limits, and vendor lock-in. More importantly, sending sensitive codebase or enterprise documentation to third-party endpoints creates serious data privacy concerns.

For Week 4's "Ghost in the Machine" challenge, I wanted to build a zero-cloud-dependency microservice that runs vector indexing and retrieval completely locally.

By keeping vector embedding and context matching on your local machine or private server, you retain 100% control over your data while enjoying sub-millisecond retrieval speeds.

🚀 What I Built: GhostInTheMachine RAG

GhostInTheMachine RAG is an asynchronous Retrieval-Augmented Generation (RAG)…

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