Exposes an internal engineering knowledge base to AI assistants, allowing users to search and retrieve standards, runbooks, and architecture decisions. It supports RAG-enhanced search, document scraping, and specialized prompts for incident investigation and code reviews.
Provides AI assistants with up-to-date documentation for popular libraries and frameworks, enabling them to generate more accurate code using less common or newly released libraries.
Enables AI assistants to crawl, index, and retrieve information from technical documentation using semantic search, with optional knowledge graph validation for code hallucination detection.
Provides AI assistants with unified access to organizational knowledge across Guru, Notion, and local docs, enabling intelligent document creation, retrieval, and management.
