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This work argues that the fix is to change the generation target: instead of asking an LLM to emit dialect-specific SQL, it has it emit a dialect-agnostic relational algebra query plan, which a deterministic compiler then renders into SQL for any supported backend.
DocNavRAG is introduced, which organizes document hierarchies and cross-region relations into a navigable graph, exposes graph operations for locating, navigating, expanding, and fetching, and maintains an evolving evidence state to guide retrieval until sufficient evidence is collected.
OpenTela is presented, a user-space orchestration overlay that turns existing fragmented HPC clusters into a unified, cross-institutional serving platform and provides a replicable blueprint for other sovereign AI initiatives to harness their own federated GPU infrastructure.
SmolDocling, a compact 256M-parameter vision-language model (VLM), is fine-tune to perform end-to-end key-value extraction directly from document images, jointly solving identification, localization, and association in a single pass without OCR preprocessing.
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