Llm Graph Builder
Transform unstructured data (PDFs, DOCs, TXTs, YouTube videos, web pages, etc.) into a structured Knowledge Graph stored in Neo4j using the power of Large Language Models (LLMs) and the LangChain framework.
Source analysis pending
Enterprise review will return with bounded evidence
Source-backed repository analysis is unavailable in this release. A refreshed analysis is targeted for the next catalog release, contingent on a successful upstream source harvest.
Verified catalog context
Transform unstructured data (PDFs, DOCs, TXTs, YouTube videos, web pages, etc.) into a structured Knowledge Graph stored in Neo4j using the power of Large Language Models (LLMs) and the LangChain framework.
Evidence boundary
Architecture, execution relationships, build guidance, operations claims, and all five Repo Intelligence facets are intentionally withheld until the source revision and files can be verified.
Open upstream repositoryRepo Intelligence
v15 evidence viewsFive no-clone views for agents and humans: repository structure, dependency graph, delivery flow, code flow, and agent flow. Source mode and relationship confidence are labeled in each result.