Recovery questions and remaining evidence gaps

The owner confirmed React + Express as the only web baseline, MongoDB Atlas for vector search, and the GPTQ Llama model source. Those questions are resolved. The documentation can be published now, but an exact production rebuild still requires the following non-secret records.

Missing record Why it matters How to recover
Exact GGUF download/conversion recipe/checksum Rebuild of deployed chat generator Original model build folder or preserved container artifact; record provenance
Chat image digest and matching source commit Tag alone does not establish exact code/model build Container registry and original release notes
Runtime source of chat DB_URI Public handler reads the Atlas URI from the runtime environment Inspect image/config privately, export only variable names; move to runtime secret
Transcriber/vision image tags/digests Exact working media deployments Read endpoint image settings
GPU type, worker min/max, concurrency, startup/job timeout, disk/volume Capacity/cold starts and compatibility Export redacted RunPod endpoint settings
KB/scraper function names, image URIs/digests, limits/VPC Exact AWS deployment Read-only Lambda/ECR configuration export
SNS subscriptions/policies/DLQ/delivery config Reconstruct routing and callback delivery Read-only SNS configuration export
Actual Atlas index definition and deployed embedding dimension Avoid retrieval/index mismatch Export index JSON and probe known model embedding
SQL schema/release state Confirm startup migrations match production Redacted schema-only export and migration review
Web domains/hosting/proxy/runtime process config Production deployment instructions for original host Export redacted hosting/service configuration
Provider key bridge / compatibility Lambda use Current web writes SQL but provider worker reads Atlas Identify missing sync code or document disabled provider paths
Semantic intent implementation if present in deployed app Public executor is a TODO Identify deployed revision or separate classifier service
Scheduled re-crawl/refresh jobs, if any No scheduler definition in public source Export schedule target/payload and handler source

Do not provide actual API keys, passwords, full secret URIs, tokens, or unredacted .env files. Resource names, variable names, image digests, model IDs, index definitions and redacted settings are sufficient.

Review scope

All four public repositories and relevant AI service branches were inspected locally. Deployment templates use environment-specific placeholders. Source-level route/schema/environment inventories were generated. No AWS account inventory, signed-in RunPod configuration audit, live endpoint job, full application build or production end-to-end test was performed. Thus this is complete documentation of the available source and owner-specified topology, with explicit reconstruction gaps, rather than a certification that the current cloud installation is running.