PranavMotarwar/raglineage
Lineage-aware RAG engine for auditable, reproducible, versioned retrieval and answers
What's novel
Lineage-aware RAG engine for auditable, reproducible, versioned retrieval and answers
Code Analysis
0 files read · 5 roundsA lineage-aware RAG engine that treats every retrievable text chunk as an immutable Lineage Node with complete provenance tracking (source, transforms, hashes) stored in a NetworkX DAG graph for versioning, auditing, and incremental updates.
Strengths
Strong architectural separation between ingestion, transformation, lineage management, and retrieval layers. The concept of treating RAG as a data lineage problem is genuinely novel and addresses real pain points around answer drift and provenance. Good use of established tools (NetworkX, FAISS) for their intended purposes.
Weaknesses
Limited test coverage visible in the file tree suggests potential gaps in edge case handling. Some core implementation files appear inaccessible for detailed review, which limits confidence in error handling depth. The project is marked as 'Alpha' status indicating it's still maturing.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
45
Contributors
1
Files
62
Active weeks
4
Repository
Language
Python
Stars
2
Forks
0
License
NOASSERTION