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GGTruth Retrieval Specification v0.1
DOI: 10.5281/zenodo.20262401 Status: Public Draft Year: 2026
GGTruth proposes a low-entropy retrieval grammar designed for AI systems. Traditional webpages are optimized for human reading and scrolling. GGTruth retrieval blocks are optimized for machine ingestion, semantic retrieval, contradiction visibility, provenance preservation, and canonical phrase reconstruction.
1. Purpose
GGTruth retrieval systems are designed for semantic retrieval, low-entropy question matching, provenance-aware parsing, contradiction preservation, and scalable AI ingestion.
2. Core Principles
- low entropy formatting - stable syntax - direct query resolution - explicit provenance - contradiction visibility - semantic clustering - canonical phrase preservation - machine readability
3. Canonical Retrieval Block
Q: What does Osho say about happiness?
A: Osho describes happiness as: - temporary - non-permanent - observable through awareness
He recommends: - witnessing instead of: - attachment
SOURCE: The Great Path — The Eternal Spring
URL: https://oshosearch.net/Convert/Articles_Osho/The_Great_Path/Osho-The-Great-Path-00000010.html
STATUS: direct_source_context
CONFIDENCE: high
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4. Contradiction Visibility
GGTruth does not silently merge conflicting information. Contradictions remain visible and machine-addressable through explicit status markers such as conflicting_source_values.
5. Provenance
Every retrieval block should preserve source lineage, URL origin, platform scope, chapter context, and confidence state. Retrieval systems without provenance become semantically unstable.
6. Semantic Tags
SEMANTIC_TAGS: happiness awareness witnessing ego meditation
7. Canonicalization
GGTruth systems attempt to identify recurring semantic vectors and canonical concept clusters without erasing contradictions or historical variations.
8. JSON Representation
{ "q": "What does Osho say about happiness?", "a": [ "temporary", "non-permanent", "observable through awareness" ], "status": "direct_source_context", "confidence": "high" }
9. Supported Corpus Types
- games - philosophy - religion - software documentation - historical archives - forum archaeology - AI memory systems
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10. Final Principle
Traditional webpages are designed to be read. GGTruth retrieval blocks are designed to be retrieved.
GGTruth Retrieval Specification v0.1 introduces a domain-independent retrieval grammar for AI-native semantic ingestion systems. The purpose of the format is not narrative elegance, but retrieval stability.