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Milestones

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  • Multi-cloud deployment architecture: Terraform + Ansible orchestration, IBM Cloud Code Engine serverless, Milvus production backup, and infrastructure automation.

    No due date
    2/3 issues closed
  • RAG and search improvements: CoT reasoning UI, source attribution, confidence scores, compact chat interface, and enhanced metadata display.

    No due date
    6/11 issues closed
  • Advanced podcast features: multi-document search, dynamic editing, language support, script validation, audio quality gates, and template editor.

    No due date
    12/12 issues closed
  • Performance optimizations (caching, chunk counts), CI/CD pipeline improvements, Docker optimizations, and infrastructure enhancements.

    No due date
    5/9 issues closed
  • Comprehensive test coverage across all layers: unit tests (70%+), integration tests, API tests, and frontend tests. Includes CI/CD test automation.

    No due date
    5/8 issues closed
  • Critical security fixes, authentication improvements, and stability enhancements. Includes security tests and vulnerability remediation.

    No due date
    4/7 issues closed
  • Ongoing technical debt reduction, code quality improvements, and maintenance tasks

    No due date
    21/23 issues closed
  • Transform into an agentic AI platform with orchestration, workflow engine, and advanced agent capabilities

    No due date
    7/14 issues closed
  • Enhanced RAG capabilities including Chain of Thought reasoning, better search quality, and conversation features

    No due date
    10/13 issues closed
  • Core functionality stable and production-ready with proper testing, CI/CD, and documentation

    Overdue by 1 year(s)
    Due by March 31, 2024
    19/20 issues closed
  • Document processing fails from time to time because of : - edge situations during document parsing which require parsers/processors improvements - use of unstable inference provider

    No due date
    2/2 issues closed
  • Implement functionality allowing to: - create collection with documents (documents are parsed, chunked, embeddings created) - chat with model in context of documents in selected collection

    No due date