{"slug": "open-webui-chat-interface-context-options", "title": "Open WebUI: Chat Interface & Context Options", "summary": "A developer detailed the core features of Open WebUI v0.9.6, an open-source chat interface that began as a front end for local Ollama instances and has expanded to support any OpenAI API provider plus agentic chats. The walkthrough covers conversation essentials, response rating with admin analytics dashboards, internal notes, and knowledge bases used as chat context. Notes can be pulled into chats directly or accessed dynamically through tool calls such as search_notes and write_note.", "body_md": "Open WebUI is one of the first tools that appeared in conjunction with Large Language Models. Initially intended as a tool for chatting with a connected local Ollama instance, it evolved to work with any OpenAI API provider and succinctly extended its features to support agentic chats.\n\nFollowing the setup of Open WebUI in my previous post, this article explores its core features. Learn about conversation essentials, see how notes and knowledge bases are created, and understand the different options to provide chat context.\n\n*The technical context of this article is `openwebui v0.9.6`, published on 2026-06-01. The setup and configuration examples should also work with newer versions.*\n\n*While I am fascinated by the capabilities of artificial intelligence tools and applications, crafting blog articles remains my personal skill. Every character, number, and symbol in this article was typed manually, with the exception of verbatim copies from log messages and screenshots.*\n\n*This article originally appeared at my blog [admantium.com](https://admantium.com/blog/llm38_open_webui_chat_features/)*.\n\nOpen WebUI's start page shows organizational features in the menu list on the left side, and a chat interface to start a new conversation on the right side.\n\nIn this view, the following options can be accessed:\n\nFeatures related to the chat interface are explored in the next sections.\n\nChatting is the core user interaction feature of Open WebUI. As it has become a de facto standard, chat bubbles from the user and model are displayed top-down, right- and left-aligned respectively. For the latest model answer, all interaction icons are shown, as well as a list of follow-up prompts.\n\nWhen hovering over a user chat bubble, the following functions are shown:\n\nThe model answer bubble offer these features:\n\nAn interesting feature is the option to rate the answer, called \"Good Response\" and \"Bad Response\". When clicked, a dialog is opened at the top of the screen where a numerical rating and a short tag can be provided. This data is stored in your Open WebUI instance, and admin users can access analytics and evaluation dashboards that factor in these answers. Ratings are useful for a large user base and model availability, helping to determine which models are perceived as most helpful for their intended tasks. Here is a screenshot for rating an unhelpful answer.\n\nAdditionally to storing locally, you can also add a public review of this model which is published on the [Open WebUI model rating page](https://openwebui.com/models), where you can provide a review for this specific model.\n\nNotes are named files stored internally in your Open WebUI instance.\n\nThe notes menu shows a list of browsable and searchable notes, and you can add a new note or open an existing one.\n\nThe note editor provides standard text formatting including headings, lists, tasks, bold and italic fonts, and code blocks. Note content can be recorded from an audio message, and a model can be invoked to edit the content directly. The complete note can also be exported to other formats and even a link can be generated. Here is a screenshot.\n\nNotes can be used in chats in three different ways: a) directly in the note editor, you can start a chat with the note, b) in a chat by adding the note, c) when an advanced feature called terminal - a separate runtime in which code can be executed - is available, tool calls like `search_notes` or `write_note` can access notes dynamically.\n\nWorkspaces are a powerful feature that governs support for agentic usage. In the context of this article, only knowledge bases as context to chats are explored.\n\nFollow these steps:\n\n`Workspace`\n`+ New Knowledge`\n`Create Knowledge`\nThis results in a new screen showing a list of sources. With the `+` symbol, the knowledge base can be edited.\n\nNew original resources can be added with these options:\n\nThe structure and content of the knowledge base can be altered as follows:\n\nWhen documents are added to the knowledge base, the same process is triggered: text is extracted from the sources, split into content chunks, processed by an embedding model, and stored in an internal database.\n\nHere is a screenshot of a knowledge base that includes my blog articles about Claude Code.\n\nOpen WebUI offers several options to provide context to your chat interactions.\n\nHere is a screenshot where a note is already attached and additional sources can be added.\n\nNew information is injected into the conversation as follows:\n\nTwo aspects should be noted:\n\n```\nopen-webui  | {\"ts\": \"2026-06-21T08:16:49.769+00:00\", \"level\": \"info\", \"msg\": \"192.168.65.1:45505 - \\\"POST /api/v1/files/?process=true HTTP/1.1\\\" 200\", \"caller\": \"uvicorn.protocols.http.httptools_impl:send:483\"}\nopen-webui  | {\"ts\": \"2026-06-21T08:16:51.487+00:00\", \"level\": \"info\", \"msg\": \"192.168.65.1:45505 - \\\"GET /api/v1/files/db47a1a8-3f19-4a5c-afcd-1cdb056306c1/process/status?stream=true HTTP/1.1\\\" 200\", \"caller\": \"uvicorn.protocols.http.httptools_impl:send:483\"}\nopen-webui  | {\"ts\": \"2026-06-21T08:16:51.518+00:00\", \"level\": \"info\", \"msg\": \"Using markdown header text splitter\", \"caller\": \"open_webui.routers.retrieval:save_docs_to_vector_db:1412\"}\nopen-webui  | {\"ts\": \"2026-06-21T08:16:51.521+00:00\", \"level\": \"info\", \"msg\": \"generating embeddings for file-db47a1a8-3f19-4a5c-afcd-1cdb056306c1\", \"caller\": \"open_webui.routers.retrieval:save_docs_to_vector_db:1490\"}\nBatches: 100%|██████████| 16/16 [00:02<00:00,  7.88it/s]\nopen-webui  | {\"ts\": \"2026-06-21T08:16:53.569+00:00\", \"level\": \"info\", \"msg\": \"embeddings generated 16 for 16 items\", \"caller\": \"open_webui.routers.retrieval:save_docs_to_vector_db:1536\"}\nopen-webui  | {\"ts\": \"2026-06-21T08:16:53.570+00:00\", \"level\": \"info\", \"msg\": \"adding to collection file-db47a1a8-3f19-4a5c-afcd-1cdb056306c1\", \"caller\": \"open_webui.routers.retrieval:save_docs_to_vector_db:1548\"}\nopen-webui  | {\"ts\": \"2026-06-21T08:16:53.840+00:00\", \"level\": \"info\", \"msg\": \"added 16 items to collection file-db47a1a8-3f19-4a5c-afcd-1cdb056306c1\", \"caller\": \"open_webui.routers.retrieval:save_docs_to_vector_db:1554\"}\nopen-webui  | {\"ts\": \"2026-06-21T08:16:53.840+00:00\", \"level\": \"info\", \"msg\": \"added 1 items to collection file-db47a1a8-3f19-4a5c-afcd-1cdb056306c1\", \"caller\": \"open_webui.routers.retrieval:process_file:1730\"}\nopen-webui  | {\"ts\": \"2026-06-21T08:34:27.873+00:00\", \"level\": \"info\", \"msg\": \"query_doc:result [['1c2776cd-b009-4d43-b20e-7f400b31269d', '08ea65ce-4c62-42f0-a897-6d2cbc0e2bd1', 'ae5f230c-ad8b-41a2-8d43-eaeedd75db99']] [[{'source': 'claude01_introduction.md', 'start_index': 2434, 'hash': '3e1955b782967e3d3ba5eed557e3c6a1de1b7c930b8267bd8ad76c122d5834c6', 'file_id': 'db47a1a8-3f19-4a5c-afcd-1cdb056306c1', 'embedding_config': \\\"{'engine': '', 'model': 'sentence-transformers/all-MiniLM-L6-v2'}\\\", 'created_by': 'b5b63a0d-ab5c-463e-ac3f-5ceacb6f3f94', 'name': 'claude01_introduction.md'}, {'embedding_config': \\\"{'engine': '', 'model': 'sentence-transformers/all-MiniLM-L6-v2'}\\\", 'created_by': 'b5b63a0d-ab5c-463e-ac3f-5ceacb6f3f94', 'source': 'claude01_introduction.md', 'start_index': 1753, 'name': 'claude01_introduction.md', 'file_id': 'db47a1a8-3f19-4a5c-afcd-1cdb056306c1', 'hash': '3e1955b782967e3d3ba5eed557e3c6a1de1b7c930b8267bd8ad76c122d5834c6'}, {'hash': '3e1955b782967e3d3ba5eed557e3c6a1de1b7c930b8267bd8ad76c122d5834c6', 'file_id': 'db47a1a8-3f19-4a5c-afcd-1cdb056306c1', 'embedding_config': \\\"{'engine': '', 'model': 'sentence-transformers/all-MiniLM-L6-v2'}\\\", 'start_index': 721, 'created_by': 'b5b63a0d-ab5c-463e-ac3f-5ceacb6f3f94', 'source': 'claude01_introduction.md', 'name': 'claude01_introduction.md'}]]\", \"caller\": \"open_webui.retrieval.utils:query_doc:285\"}\n```\n\nWhen adding existing information, several types of documents can be used:\n\nOpen WebUI is one of the first tools that offered a chat interface to LLMs. This article explored its core features. You learned about, a) the start page, b) the main chat features for user and system messages, including editing, reading, regenerating and rating answers, c) how to create individual note files or d) complete document collections called knowledge bases, which can include different document types or web pages, and e) providing chat context with original documents and already uploaded document notes or knowledge bases.", "url": "https://wpnews.pro/news/open-webui-chat-interface-context-options", "canonical_source": "https://dev.to/admantium/open-webui-chat-interface-context-options-1a9k", "published_at": "2026-09-10 05:40:46+00:00", "updated_at": "2026-09-10 05:51:28.380104+00:00", "lang": "en", "topics": ["ai-tools", "large-language-models", "ai-agents", "ai-products", "developer-tools"], "entities": ["Open WebUI", "Ollama", "OpenAI", "admantium.com"], "alternates": {"html": "https://wpnews.pro/news/open-webui-chat-interface-context-options", "markdown": "https://wpnews.pro/news/open-webui-chat-interface-context-options.md", "text": "https://wpnews.pro/news/open-webui-chat-interface-context-options.txt", "jsonld": "https://wpnews.pro/news/open-webui-chat-interface-context-options.jsonld"}}