Refine README.md background section to clarify the project's basis on the internal agent "Donke," enhancing context for users. This update aims to improve understanding of the project's application and its connection to Airweave's services.

Update README.md to include background information on the internal agent "Donke" and a link to a blog post detailing how Airweave is utilized to enhance its own services. This addition aims to provide context and further insights into the project's application and benefits.

Update README.md

Update documentation to clarify error clustering stages and enhance configuration details. Revised clustering stages for better semantic understanding and added available data source options in the configuration file.

Update README.md to include a video demonstration of the project, enhancing user engagement and providing a visual overview of the error monitoring capabilities. This addition aims to improve clarity and attract interest in the project's features.

Enhance ContextSearchData component by updating UI text for clarity and introducing a new Airweave icon. The title now features a more concise description with the Airweave branding visually represented, improving overall user experience and aesthetics.

Refactor App component and update UI text for clarity. Removed unused icon import, revised descriptions in the pipeline visualization section to better convey functionality, and updated footer branding. Enhanced the PipelineVisualizer to provide a more engaging demo experience with improved messaging.

Update README.md to clarify project description and enhance setup instructions. Changed references from demo to project, added details about the interactive demo, and improved the quick start guide. Included new sections on connecting real data sources and running the agent in production, along with updated API reference and context enrichment details.

Refactor clustering logic in the error analysis pipeline to enhance semantic grouping. Removed strict clustering in favor of regex-based clustering for improved error categorization. Introduced fallback merging for clusters when LLM is unavailable, and updated error sample data to demonstrate effective clustering across various error types. Enhanced error type extraction with more specific patterns for better accuracy in categorization.

Enhance error analysis and alert generation in the backend. Introduced a new function to generate actionable titles for alerts based on analysis results, improving clarity and user understanding. Updated the alert structure to utilize these titles and refined the error analysis model to include title generation in the analysis process. Additionally, improved documentation for error analysis guidelines and updated sample error data for better demonstration of clustering behaviors.

Implement real-time data updates and UI enhancements in the pipeline visualizer. Added auto-expansion for running steps, improved step card behavior with auto-collapse and force open features, and introduced staggered fade-in animations for better user experience. Updated styles for a more dynamic display of pipeline progress and results.

Enhance StepCard component with a comprehensive severity analysis summary and improved individual analysis display. Introduced dynamic severity counts, color-coded severity indicators, and new icon components for better visual representation of analysis data. Refactored layout for improved readability and organization of analysis details.

Refactor LLM initialization in analysis and clustering components to improve error handling and key validation. Update context search component to include documentation display and enhance UI with new icons for better visual representation of search results.

Revamp StepCard and ClusteringData components with enhanced UI elements. Redesigned the reasoning section for better visual appeal and added a reduction visualization for error clustering, including dynamic statistics and color-coded clusters. Introduced new icon components for improved aesthetics.

Enhance step card component with improved error log display and organization breakdown. Added dynamic timestamp generation, color-coded severity indicators, and a new layout for log entries. Introduced components for building and terminal icons to enhance visual representation of logs and affected organizations.