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

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

feat: enhance AI involvement and standard paragraph handling

fix: enhance section text update handling and validation

fix: notes-only generation to prevent RAG content leak

fix: use same-origin API base so uploads work on HF Spaces

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.

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

feat: FAISS-only vector store (remove Chroma)

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

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

feat: add complete browser UI with upload, section config, generate and results views