Enables document translation across multiple languages and AI-powered semantic search of PubMed literature. Supports various document formats including PDF, DOCX, PPTX with status tracking and customizable search parameters.
Exposes RE-Butler knowledge and validation tools for hybrid semantic search, requirement templates, user story validation, and Azure DevOps work item creation with approval gates.
Enables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.
Converts OpenAPI specifications into MCP tools to access 3DSpace Engineering Web Services APIs, enabling natural language interaction with 45+ services for engineering, manufacturing, and project management.
Enables document ingestion, semantic search, and retrieval-augmented generation via MCP tools and REST API, using vector embeddings and intelligent chunking.
