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Openai/691a41cd-2efc-800c-9eff-de439224a90d
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==== Right now, data is split across: ==== * SQL DBs * NoSQL stores * Vector DBs * Data lakes & warehouses * Log silos Everyone is gluing an LLM on the front and hoping for the best. With LoreTokens + SAIQL + LTFS: * Storage becomes meaning-aware by default. - Files and records are stored as LoreTokens (or at least have LoreToken descriptors). - LTFS-like layers let you query code, configs, and docs as semantics, not filenames and paths. * SAIQL becomes the “front door” for data. - Apps and agents talk to SAIQL; SAIQL translates to SQL / NoSQL / vector / filesystem behind the scenes. - Schema changes no longer break every AI workflow, because the semantic layer hides the churn. * ETL shrinks. - Instead of endless pipelines reshaping data into yet another format, ingestion becomes: “normalize into LoreTokens; SAIQL will handle the rest.” That’s a huge simplification: your “data stack” becomes one semantic plane, not five incompatible layers with duct tape.
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