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NRC nuclear licensing RAG pipeline and regulatory embeddings dataset
First public NRC regulatory embeddings dataset—37K chunks ready for ChromaDB and Pinecone.
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davenporten
201mo ago
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incremental synchronization for RAG pipelines
0 starsPython
Incremental RAG ingestion, only changed chunks get re-embedded
by shamikhan005·Jun 8, 2026·1 point·0 comments
AI Analysis
●●SolidBig BrainSolve My Problem
Chunk-level incremental sync saves 67% embedding calls on partial document edits.
Strengths
- •SQLite registry tracks chunk state to avoid redundant embedding API calls
- •Permission and ACL changes propagate as metadata-only PATCH calls
- •Supports Pinecone, Qdrant, Weaviate with clean adapter pattern
Weaknesses
- •Zero stars and forks suggests early stage with limited adoption
- •Incremental RAG sync is a known optimization pattern in the space
Category
Target Audience
Developers building RAG pipelines with vector databases
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LlamaIndex · LangChain · Vectara
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