What problem does it solve? Employees often need answers grounded in internal company knowledge rather than generic AI responses. This Skill turns the agent into a knowledge retrieval assistant that searches a companyRAG collection and answers questions strictly based on the retrieved results, with source citations. ## Core Features & Use Cases - Semantic, Keyword, and Hybrid Search: Uses the search_content tool with configurable search modes (similarity, keyword, hybrid), topK limits, and metadata filters to find relevant content. - Document- and Metadata-Based Lookup: Retrieves all content from a named source document via find_content_by_source, or filters content purely by metadata using find_content_by_metadata with logical and comparison operators. - Grounded, Cited Answers: Answers only from tool results, cites sources inline, retries with reformulated queries up to four times, and clearly states when no information is found. - Use Case: A support agent asks "How do I reset a user password?" The Skill searches the internal documentation collection in hybrid mode and returns an answer with inline references to the relevant manual pages. ## Quick Start Ask the agent a question about your internal documentation and have it search your companyRAG collection for a cited, source-grounded answer.
