Verifiable Retrieval-Augmented Generation
Document Intelligence with Guaranteed Attribution
An engineering-first RAG pipeline built from scratch. Local dense vector embeddings, semantic boundary chunking, and strict page-level citation grounding.
System Architecture
5-Stage Precision Pipeline
Stage 03•Cosine Drop (80%)
Semantic Chunking
Calculates cosine distance between consecutive sentence vectors to split only on real topical shifts.
Verification Spec80th percentile
Evaluation Recall
100%Recall@5
Guarantees the target context chunk resides in the top-5 retrieved candidates.
Ranking Quality
0.83MRR Score
Mean Reciprocal Rank verifying relevant context appears primarily at Rank #1.
Vector Pipeline
384Dimensions
all-MiniLM-L6-v2 running on local CPU with zero external API fees.