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REDDIT · REDDIT// 2h agoINFRASTRUCTURE
RAG citations face traceability gap
A LocalLLaMA discussion surfaces a production RAG pain point: retrieval stacks can find relevant context, but often fail to preserve claim-level provenance, source offsets, and audit trails through chunking, compression, reranking, and tool use.
// ANALYSIS
The real issue is architectural: citations need to be treated as first-class data, not decorative links added after generation.
- –Chunk-level IDs, byte or page offsets, document lineage, and transformation history should travel with every retrieved span.
- –Hybrid search can help traceability when BM25 terms provide deterministic anchors that dense retrieval alone may blur.
- –Structured data RAG needs different attribution paths than unstructured text, with row IDs, schema fields, query logs, and source snapshots preserved.
- –Citation-first generation, evidence selection, abstention, and post-generation verification are stronger than asking the model to cite after it has already composed an answer.
// TAGS
ragsearchvector-dbembeddingllmdata-toolssafety
DISCOVERED
2h ago
2026-04-22
PUBLISHED
5h ago
2026-04-22
RELEVANCE
7/ 10
AUTHOR
CodNo2235