Скачать или смотреть LexFabric Agents: Deterministic Timeline Reconstruction | Google AI Agents Capstone

Submission for the Google AI Agents Intensive Capstone on Kaggle.

Project: LexFabric Agents
Goal: Create a trustworthy, zero-hallucination system for reconstructing chronological timelines from fragmented legal evidence (PDFs, emails, logs).

THE PROBLEM
Standard LLMs struggle with "Cross-Document Chronological Reconstruction." When evidence is split across hundreds of files, LLMs mix up dates, stitch unrelated events together, and "hallucinate" facts to create a coherent story. In a legal context, this is unacceptable.

THE SOLUTION
LexFabric Agents is a hybrid, multi-agent pipeline that strictly separates Text Extraction (via Google Gemini) from Reasoning (via deterministic Python code). This guarantees the timeline is mathematically correct, not just probabilistic.

KEY ARCHITECTURE FEATURES:
Multi-Agent Pipeline:
   * Evidence Agent: Ingests raw files and metadata.
   * Timeline Agent: Normalizes timestamps (ISO 8601).
   * Memory Bank: Handles entity resolution (e.g., "Bob" = "Robert").
Cryptographic Provenance: Every event in the timeline is tied to an immutable SHA-256 hash of the source document.
Grounded Q&A: The Q&A Agent refuses to answer if evidence is not found in the hash manifest—it is designed for court, not for chat.
Reproducibility: Powered by a Synthetic Evidence Server (MCP) for testable, auditable builds.

TIMESTAMPS:
0:00 The Problem: Why LLMs Hallucinate Timelines
0:29 The Solution: Hybrid Agent Architecture
0:44 Separating Extraction vs. Reasoning
1:06 The Agent Pipeline (Evidence, Timeline, Memory)
1:33 The Zero-Hallucination Guarantee (Provenance)
1:58 Build & Integrity (CLI Demo)
2:21 Conclusion: Solving the High-Signal Problem
2:38 Future Work (Causality Graphs)

LINKS:
Kaggle Submission: https://www.kaggle.com/competitions/a...
Documentation: https://github.com/revelles/lexfabric...

#GoogleAIAgents #Kaggle #Gemini #LegalTech #AI #Agents #LLM #Python #ArtificialIntelligence #SoftwareEngineering