Add demo documentation and Docker setup for v2 report generation system

Ship production RAG hardening: citation extraction, full-library retrieval, auth.

Speed up generation and ingestion; add live report progress on /status.

feat: async pipeline, job queue, generation hardening, and docs

feat: AI interference levels (minimum|medium|maximum) UI, API, prompts, generation

feat: introduce strict uploaded only mode and enhance logging for AI generation

fix: enhance section text update handling and validation

fix: stop false Level 1 classification of messy Level 3 field notes

chore: update .gitignore and README for improved clarity and functionality

- Added support for RICS survey levels (1, 2, 3) in document uploads and reports, allowing for better tier management and retrieval filtering.

- Replaced timezone.utc with UTC from datetime for consistent datetime handling.

feat(experiment-lab): AI transparency bar, tenant-scoped RAG, citations, proofread/enhance fixes

- Updated `.env.example` to include new settings for bulk upload limits and batch processing.

feat: enhance document upload and processing capabilities with new personalisation features

fix: comprehensive codebase review fixes (critical + major + minor issues)

fix: apply all bug fixes and improvements (embeddings, cache, postprocess, frontend, tests)

fix: resolve startup and background task issues for Python 3.13 + Starlette 0.52

feat: scaffold complete RAG system for RICS-style report generation