How Krugle Biblio works

Krugle Biblio preprocesses data sources (code and surrounding documentation) to make them readable for LLMs.
It collects these by purpose and creates cross-sectional vector and knowledge indexes within the collections (code and surrounding information).
Agentic RAG analyzes prompts and further searches these embedded indexes to provide answers.

Krugle unique preprocessing and Agentic RAG integration flow

Krugle Biblio is not just an Agentic RAG; it dramatically improves answer accuracy by searching a pre-processed collection (code and surrounding information).