From 7b25b897903cd904de7fdbfb147523db9d73a0a8 Mon Sep 17 00:00:00 2001 From: Thorsten Sommer Date: Sun, 6 Sep 2026 18:24:18 +0200 Subject: [PATCH] Add the changelog entries for local RAG --- app/MindWork AI Studio/wwwroot/changelog/v26.9.1.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/app/MindWork AI Studio/wwwroot/changelog/v26.9.1.md b/app/MindWork AI Studio/wwwroot/changelog/v26.9.1.md index e9c24e99..ebd397a7 100644 --- a/app/MindWork AI Studio/wwwroot/changelog/v26.9.1.md +++ b/app/MindWork AI Studio/wwwroot/changelog/v26.9.1.md @@ -8,4 +8,7 @@ - Added tools to the Assistant Builder. For a direct-chat launcher you pick them yourself, alongside the workspace, provider, and data sources. For an assistant, the AI chooses from the tools installed here and says so in the draft, so you see the decision before the assistant is written. - Added organization-wide management for tools. Among other options, IT departments can switch tools off entirely, disable individual ones, or define the provider trust a tool requires. You do not have to write any of it by hand: set a tool up in the app, then export its configuration as ready-made Lua code for your plugin, with encrypted API keys if you want them. - Added tool calling to the abilities you can state yourself in the expert provider settings. When you use a model AI Studio does not recognize as tool-capable, you can now declare that it is, the same way you already could for image input or reasoning. +- Added local RAG as a preview feature, so the AI can answer from your own documents. You point AI Studio at a folder or at a single file, and it prepares those documents in the background so their contents can be found again later. Ask a question with such a data source selected, and AI Studio looks for the passages that fit your question and hands only those to the model, along with where each one came from. This is the groundwork, and we will develop it further together with the people who use it: to try it, open the app settings, allow preview features down to prototypes, and then enable the RAG feature. Many thanks to Paul Koudelka (`PaulKoudelka`) for around ten months of work on the concept and the implementation. +- Added the setup for local data sources. You pick an embedding provider, and AI Studio asks for your confirmation before any document goes to a cloud service. It keeps up with your files as they change, shows the progress on a page of its own, and checks every document for hidden instructions before indexing it. - Improved loading web content in the assistants: it now uses the same reader as the Read Web Page tool, which extracts the main content of a page more reliably and skips navigation and boilerplate. Pages from your own network, including local servers, keep working as before. When a page cannot be read, AI Studio now says why instead of leaving the field empty. +- Changed how provider trust and provider confidence work together. Marking a provider as trustworthy in a configuration no longer also satisfies a required confidence level: one says who runs the provider, the other how confidential it is. Organizations raise a provider's level in their own confidence scheme instead. This applies beyond local data sources, for example, when a model reads a page from your intranet.