Search Results for "teams"

...It is positioned as a collaborative chat platform rather than a single-user demo, which is reflected in its administrative structure, multi-user handling, and deployment-oriented documentation. The project supports OpenAI, Azure OpenAI, Claude, Gemini, and Ollama-hosted models, giving teams flexibility in how they connect model backends. Its feature set includes shareable static pages generated from conversations, searchable conversation snapshots, text file uploads, multimedia file support when the model allows it, and prompt management with shortcut-based access. The repository structure also points to both web and Flutter-based mobile components, suggesting a broader product surface than a simple browser-only interface.

...The interface is intentionally familiar, offering a ChatGPT-like experience with customizable branding, fast Rust-based performance, and conversation history management. Beyond chat, Bionic focuses heavily on enterprise RAG by letting users create AI assistants that work with their own documents, share those assistants across teams, and configure embeddings, chunking, and system prompts through the UI. The platform supports a wide variety of document types, includes data isolation features for teams, and layers in security measures such as RBAC, row-level security in Postgres, strong content security policy settings, and minimal container builds.

BotKube is a messaging bot for monitoring and debugging Kubernetes clusters. It's built and maintained by InfraCloud. BotKube can be integrated with multiple messaging platforms like - Slack, Mattermost, Microsoft Teams to help you monitor your Kubernetes cluster(s), debug critical deployments and gives recommendations for standard practices by running checks on the Kubernetes resources. BotKube watches Kubernetes resources and sends a notification to the channel if any event occurs for example a ImagePullBackOff error. You can customize the objects and level of events you want to get from the Kubernetes cluster. ...

Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contextual assistants on Facebook Messenger, Slack, Google Hangouts, Webex Teams, Microsoft Bot Framework, Rocket.Chat, Mattermost, Telegram, and Twilio or on your own custom conversational channels. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forths. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed. ...

...Developers can model and build sophisticated conversation using their favorite programming languages including C#, JS, Python and Java or using Bot Framework Composer, an open-source, visual authoring canvas for developers and multi-disciplinary teams to design and build conversational experiences with Language Understanding, QnA Maker and sophisticated composition of bot replies (Language Generation). Checkout the Bot Framework ecosystem section to learn more about other tooling and services related to the Bot Framework SDK. The Bot Framework SDK v4 is an open source SDK that enable developers to model and build sophisticated conversation using their favorite programming language.