Fix HF startup when OPENAI_API_KEY secret is missing or only in Space env.

Ship personalised RAG, 10m SLA, parallel generate, and AI phase docs for HF pilot.

Prioritize production AI: photo vision fix, HF profile, and inspector on generate.

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

feat: enhance AI involvement handling and transparency metrics

fix: enhance section text update handling and validation

fix: notes-only generation to prevent RAG content leak

deploy: harden inspector + add RAGAS eval harness

refactor: enhance non-invention guard and tier-aware output handling

chore: update Docker configuration and application settings for improved deployment

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

feat: implement two-layer hallucination grounding check with 21 new tests

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

Added canonical rollout functionality, including new API endpoints and request/response models for upgrading indexed content. Updated main application to include the canonical rollout router. Introduced a new document loading function for raw documents in the ingestion pipeline. This enhances content management and semantic upgrades across the application.

- Introduced a new API endpoint for finding similar content in the tenant's workspace, allowing users to identify overlapping uploads and draft notes.

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

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

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

- Updated .gitignore to exclude proprietary RICS documents.

- 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

feat(experiment-lab): rewrite RAG pipeline using LangChain framework

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

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