🧠 CollabaseBrain: Context-Aware Chatbot, Semantic Search & MCP

Finding specific information and synthesizing context across different modules can be a massive time sink. We are introducing CollabaseBrain, an intelligent conversational interface designed to query, analyze, and interact with your entire workspace using secure, local AI.

Here is what we are scoping for the Collabase Brain integration:

🔍 Cross-Module Semantic Search: Move beyond exact keyword matching. Use natural language to search your entire environment, performing semantic queries across Tasks, Docs (Pages), Whiteboards, Registry Objects, and Test Runs to find exact concepts and context, not just file names.

💬 Context-Aware RAG: Ask complex questions about your projects or documentation. Brain uses Retrieval-Augmented Generation (RAG) to synthesize answers directly from your underlying data, providing accurate, cited responses based solely on your internal single source of truth.

🛠️ Actionable AI Skills: Brain is not just a read-only search engine; it can execute work. Instruct the chatbot to summarize meeting notes, draft manual test cases, generate sub-tasks, or update Registry assets directly from the conversational interface.

🔌 External Reach via MCP: Through the Model Context Protocol (MCP), extend Brain's capabilities to your third-party tools. Securely query external databases or trigger actions in connected enterprise systems directly through the Collabase chat.