Systems and methods for transformer integration into dynamic schema databases

Abstract

Provided is a system for processing semi-structured data, comprising a tokenization module configured to convert JSON objects into token sequences by recursively traversing keys and values (e.g., in depth-first order) and generating sequences of key tokens, value tokens, and grammatical tokens, wherein key tokens are distinguished from value tokens through a transformation that wraps original key strings in a special token format. The system includes a positional encoding module configured to generate hierarchical position embeddings using a PDA that maintains a stack reflecting parsing state, wherein the positional encoding module computes position embeddings by summing embeddings of stack symbols present at each sequence position. A transformer architecture comprising multiple layers of self-attention mechanisms is configured to process combined token and position embeddings. A grammar validation module is configured to enforce valid token sequences by suppressing logits corresponding to invalid transitions according to JSON grammar rules encoded in the PDA.

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