What's already configured
The Docker container bundles the AnythingLLM server, the document collector, the web frontend, and LanceDB as the default embedded vector database — there's no separate database service to install or connect. Documents, vector embeddings, chat history, and your .env configuration all persist in a storage volume mounted to the container, so restarts or image updates don't wipe your data. Anonymous usage telemetry (PostHog-based) is enabled by default; it can be disabled by setting DISABLE_TELEMETRY="true" in the .env file if you'd rather not send it.
First login and admin setup
There's no pre-generated admin password. On first visit to your instance, AnythingLLM walks you through a setup wizard where you create the admin account, choose between single-user and multi-user mode, and pick your first vector database and LLM provider. The exact URL, port, and whether SSL is pre-configured on Leneex depend on how this app is wired into the panel.
Connecting a model before you can chat
The Docker image doesn't ship with a bundled LLM — after finishing the setup wizard, the workspace won't answer anything until you add a provider (an OpenAI or Anthropic API key, or a local Ollama endpoint) in the settings. The same applies to the embedding model used for indexing documents; the built-in option works out of the box, but it can be swapped for an external provider from the same settings screen.