RTRGRD isn't just a wrapper for an LLM. It’s a Retrieval-Augmented Generation (RAG) system purpose-built for network engineering. It combines immutable "Factory" knowledge with your private "User" context in a strictly isolated, local-first architecture.
Get Early AccessGeneric AI hallucinates because it guesses. RTRGRD retrieves. We separate System Knowledge (verified syntax) from User Knowledge (your docs) to ensure accurate, grounded responses without training public models on your private data.
Most RAG systems fail on exact commands like show ip ospf neighbor. We carry out a
Hybrid Search: combining Full-Text Search (exact keyword matches) with Vector
Embeddings (semantic concepts) and merging the results via Reciprocal Rank Fusion.
RTRGRD watches what you type. If a command runs successfully (no error), it's learned into your local database. The more you use it, the smarter the Ghost Text autocomplete becomes—tailored specifically to your habits.
Upload your internal SOPs, Low-Level Designs (LLDs), or vendor PDFs. The system chunks them using a Parent-Child Architecture: finding small relevant snippets (Children) but retrieving the full page context (Parent) for the AI.
