Retrieval-Augmented Generation built for production. Not pilots.
Full 6-layer RAG architecture designed for your industry. Citation-level attribution. Hallucination controls. Built for regulated environments where a wrong answer has consequences.
A RAG system that works in regulated production.
Document Pipeline Architecture
Automated ingestion, chunking, and indexing of your documents. PDFs, Word files, web pages, knowledge bases. Document-type-aware chunking that preserves the semantic structure your industry requires.
Hybrid Retrieval Layer
Dense vector search plus sparse keyword search plus re-ranking. Not just embeddings. The combination that retrieves the right context even when queries are ambiguous or terminology varies.
Citation Engineering
Every answer grounded in specific document sections with full attribution. Users see exactly which source each claim comes from. Built specifically for environments where an unattributed answer creates liability.
Hallucination Controls
Confidence scoring, answer grounding validation, and refusal handling. The system knows when it does not know. Escalates to human review rather than fabricating.
Production Monitoring
Query logging, retrieval quality metrics, answer quality tracking. You see what the system is doing, where it is succeeding, and where it needs tuning.
Full Ownership
Source code, document pipeline, vector database, prompt architecture. Everything yours permanently. No ongoing dependency on RERIGHT.
Industries where a wrong answer has consequences.
Financial Services
K-1s, contracts, regulatory filings, policy documents. ECOA-compliant adverse action attribution. SR 11-7 model documentation.
Healthcare
Clinical guidelines, formularies, protocols, EHR documentation. HIPAA-compliant data handling. FDA AI/ML-SaMD documentation.
Legal
Matter history, precedents, research, templates. Citation attribution that prevents hallucinated case references. ABA-aware system design.
Manufacturing
Technical manuals, safety procedures, compliance documentation, maintenance records. ISO 13849 safety consideration built in.
From document inventory to production in 6-8 weeks.
Document Audit (Week 1)
We inventory your documents, understand the query types your users will ask, and define the accuracy and citation requirements your industry demands.
Architecture Design (Week 2)
We design the 6-layer architecture specific to your document types and industry. Chunking strategy, retrieval configuration, citation schema.
Build and Integrate (Weeks 3-5)
Pipeline built, documents ingested, retrieval tuned. Integration with your existing systems and user interfaces.
Evaluation and Tuning (Week 6)
We test against real queries, measure retrieval quality, tune the system. You review outputs before production.
Production Deployment (Weeks 7-8)
Go live with monitoring dashboards active. First 30 days we watch closely and tune based on real usage patterns.