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TAMR+ Lite — Open-core Trust-Augmented Multi-phase Retrieval framework for EU AI Act compliant AI applications

Project description

TAMR+ Lite

Trust-Augmented Multi-phase Retrieval — Open-Core Edition

The open-source core of the TAMR+ framework, providing EU AI Act-compliant scoring, gap attribution, and retrieval primitives for building trustworthy AI applications.

Three-Stage Architecture

  1. Document Manifest Selector — 5-signal deterministic pre-filtering (zero LLM calls)
  2. Multi-Phase Retrieval — Vector ANN, KG alignment, causal density, diversity selection
  3. TRACE Scoring — 5-dimension formula-based scoring with gap attribution

Installation

pip install tamr-plus-lite

Quick Start

from tamr_plus_lite import build_trace_scores, compute_gap_attribution

# Score a response
score = build_trace_scores(
    source_count=5,
    total_claims=10,
    cited_claims=8,
    evidence_strength=0.8,
)
print(f"TRACE Score: {score.overall:.0%}")
print(score.explanation)

# Explain gaps
gap = compute_gap_attribution(
    trace_score=score.overall,
    source_count=5,
    total_claims=10,
    cited_claims=8,
)
print(gap.explanation)
for component in gap.components:
    print(f"  {component.friendly_name}: {component.value:.1%}{component.action}")

Modules

Module Description
tamr_plus_lite.scoring TRACE 5-dimension scoring engine
tamr_plus_lite.gap Gap attribution ("Why not 100%?")
tamr_plus_lite.manifest Document manifest selector (Stage 1)
tamr_plus_lite.classifier Zero-LLM query classifier
tamr_plus_lite.interfaces Abstract interfaces for pluggable backends
tamr_plus_lite.extraction KG extraction prompt + utilities
tamr_plus_lite.chunking Text chunking + JSON repair
tamr_plus_lite.profiles Domain scoring profiles

EU AI Act Compliance

All scoring is formula-based (not ML) for full transparency:

  • Art. 13: Every parameter is explicit and auditable
  • Art. 14: Every score decomposes into human-readable factors
  • Art. 15: Deterministic formulas guarantee reproducibility

TRACE Dimensions

Dimension Weight What It Measures
T — Transparency 25% Source attribution and model identification
R — Reasoning 20% Evidence basis and cross-document connections
A — Auditability 20% Audit trail completeness
C — Compliance 20% Regulatory framework alignment
E — Explainability 15% Response structure quality

Gap Attribution Taxonomy

Code Friendly Name Description
SCG Document Coverage How much is backed by uploaded documents
PKC AI Knowledge Used Reliance on AI training data
DLT Specialized Vocabulary Domain terminology precision
ADG Citation Coverage Citation completeness
FSC System Limitation Irreducible 3% structural ceiling

Full TAMR+

This is the open-core edition. The full TAMR+ SDK includes:

  • Premium 7-phase retrieval pipeline (HDI, governance, compliance certificates)
  • Gamified insights engine
  • Production domain profiles with calibrated weights

Contact: harish.kumar@quantamixsolutions.com

License

Apache-2.0 — Quantamix Solutions B.V.

Patent: EP26162901.8 (TAMR+ Three-Stage Architecture)

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