External audit records for LightRAG-style entity and relationship extraction

[jaysinailabs]

Hi LightRAG team,

I have been looking at LightRAG as a GraphRAG system where LLMs extract entities and relationships before they become part of a knowledge graph. The extraction prompt's tuple format is a useful boundary: it is structured enough to audit, but still comes from an LLM and can contain malformed or review-worthy graph writes.

I maintain CogLang, a small open-source DSL focused on auditable graph intents, static preflight decisions, canonical expression hashes, and human-review routing for LLM-proposed operations.

I am not proposing a core dependency or asking LightRAG to adopt anything. I wanted to ask whether an external companion example would be useful:

• take LightRAG-style entity and relation tuple outputs
• convert valid tuples into CogLang graph-write intents
• reject malformed tuples before graph writes
• record document/chunk provenance, canonical expression text, expression hash, preflight decision, and review status
• keep it outside LightRAG core unless maintainers find the shape useful

I prepared a small external prototype here:

https://github.com/jaysinailabs/coglang/tree/main/examples/lightrag_audit_bridge

The example does not import, run, wrap, or modify LightRAG. It uses hand-written LightRAG-style fixture records only, then emits local audit JSONL. The intent is to test the review boundary before LLM-proposed KG writes, not to create maintenance burden for LightRAG.

Would this kind of companion audit bridge fit LightRAG's direction, or would you prefer integrations like this to stay fully external?