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Bolajie/Nigeria-Tax-Law-bot

Domaine:

natural language processing

Type de record:

software
Créateur:
Bol
Hôte:
This is an AI assistant that answers questions using verified knowledge sources. It combines a retrieval system with a knowledge graph to provide accurate, context-aware answers, along with references so users can see where the information comes from. # Nigerian Tax Act 2025 AI Agent System ## Case Study & Technical Documentation --- ## Executive Summary This case study documents the implementation of an intelligent tax advisory system built on N8N that combines vector search, knowledge graphs, and conversational AI to provide accurate, citation-backed answers about the Nigeria Tax Act 2025. The system addresses the critical challenge of hallucination in legal AI applications through a multi-layered retrieval architecture. ### Key Outcomes - **Zero-hallucination architecture** for legal document retrieval - **3-tool orchestration** (vector store, graph memory, semantic search) - **Automated document ingestion** pipeline processing PDFs to structured knowledge - **Real-time streaming responses** with exact statutory citations - **Hierarchical chunking** maintaining legal document structure --- ## Table of Contents 1. Business Problem 2. Solution Architecture 3. Workflow 1: Tax Agent Chatbot 4. Workflow 2: Document Ingestion Pipeline 5. Technical Implementation 6. Configuration Guide 7. Performance Metrics 8. Lessons Learned --- ## Business Problem ### Challenge Tax professionals and citizens require immediate, accurate access to Nigeria's Tax Act 2025, a complex legal document with: - Multiple interconnected sections - Frequent amendments and cross-references - Strict accuracy requirements (no room for AI hallucination) - Need for verifiable citations ### Traditional Limitations - Manual document search is time-consuming - Standard RAG systems hallucinate legal citations - Simple vector search misses relational context - Chatbots lack memory of amendments and dependencies ### Solution Requirements 1. **Accuracy**: Every answer must cite exact sections 2. **Context**: Understand relationships between tax concepts 3. **Speed**: Real-time responses with streaming 4. **Traceability**: Provide source documents and page numbers 5. **Scalability**: Handle multi-document tax libraries --- ## Solution Archite …

Visit

github.com

Tasks

question answering