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Legal RAG Starter Kit — Project Context

This project is a reusable RAG base for document-grounded legal AI assistants.

The goal is to preserve the existing working RAG architecture while neutralizing domain-specific names and preparing the codebase for several vertical assistants.

Planned vertical assistants:

  1. Cross-Border Contract Risk Assistant
  2. Trade Finance Legal Reference Assistant
  3. Other legal document-based assistants

Core principles:

  • keep the project simple and portfolio-friendly;
  • do not turn it into a heavy framework;
  • preserve working behavior;
  • use neutral naming;
  • support source attribution / citations;
  • include an "insufficient basis" mode;
  • recommend local Ollama usage for sensitive or confidential data;
  • avoid pretending to provide final legal advice.

Target structure:

  • raw_sources/ — original documents;
  • knowledge_base/ — processed / prepared knowledge materials;
  • scripts/ — ingestion, preprocessing, evaluation scripts;
  • runtime/ — local generated files, cache, vector stores;
  • src/ — application code.

The starter kit should later support vertical-specific configurations, prompts and knowledge bases.