Add demo documentation and Docker setup for v2 report generation system

Fix auth on notes upload and DOCX export; stabilize HF token signing.

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

Disable LLM RAG sanitisation by default on HF Spaces to fix slow ingestion.

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

Default report generation to standard RAG/LLM on e561e67 baseline with /health verification.

feat: RAG upload sanitisation layer before vector indexing

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

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

feat: enhance embedding model configuration and retrieval logic

feat: enhance AI involvement and standard paragraph handling

fix: allow reference-only RAG guidance in notes-only mode

fix: notes-only generation to prevent RAG content leak

deploy: harden inspector + add RAGAS eval harness

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

feat: FAISS-only vector store (remove Chroma)

- Introduced `ingest_timeout_seconds` setting in config.py to define maximum time for document ingestion.

Merge origin/experiment-lab (LangChain RAG) into experiment-lab + product features

- Updated .gitignore to exclude proprietary RICS documents.

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)

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