Microsoft Türkiye
AI Summer InternDeveloped an advanced local-first Retrieval-Augmented Generation system using Microsoft Foundry Local for engineering and industrial knowledge workflows. The work combined hierarchical document parsing, hybrid BM25 and dense retrieval, Reciprocal Rank Fusion, cross-encoder reranking, query rewriting, retrieval grading, context reconstruction, citations, entity-graph exploration, and latency telemetry through a FastAPI application layer. It focused on retrieval quality, explainability, and dependable offline execution for technical knowledge environments.
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