
How to Update Open WebUI Container: Docker Guide
How to update the Open WebUI container without losing chats: back up the volume, pull, recreate, pin a versio…
Featured Follow an Open WebUI document from upload through extraction, embeddings and retrieval. Configure Knowledge, diagnose missing answers and measure indexing
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How to update the Open WebUI container without losing chats: back up the volume, pull, recreate, pin a versio…

A documentation-level comparison of Open WebUI and LibreChat: install footprint, configuration model, model c…

Fix an empty Open WebUI model list by checking Ollama's bind address, Docker's host URL, saved connection set…

How to install Open WebUI with Docker: which image tag to run, the volume that holds everything, GPU flags, t…

What Open WebUI actually does, how it connects to a local model backend, and how retrieval, embeddings and co…
Start with the architecture guide to understand what Open WebUI does and what belongs to the model backend. The Docker guide takes you from installation to your first chat; the connection guide helps when the model list stays empty. Compare front ends before choosing one, then follow the document upload and container update guides as you add retrieval and maintain the instance.
How the chat interface, Ollama backend, embeddings and context window fit together, and which component owns each behaviour.
Install the Docker container, preserve accounts and chats in a volume, connect Ollama, and send your first message.
Trace an empty model list or connection error through Ollama's bind address, Docker networking, saved URLs and timeouts.
Open WebUI against LibreChat on install footprint, configuration model, retrieval and licence terms.
Follow an uploaded file through extraction, embeddings and retrieval, then diagnose missing document answers.
Back up the data volume, replace the container, pin a version, and plan a rollback before updating Open WebUI.
Sizing the machine first? Open the VRAM and context sizer and check whether the model and context length you want fit in the GPU you have.