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ENGINEERING CAPABILITY

Enterprise Retrieval-Augmented Generation.

Connect large language models to your private enterprise databases, PDF archives, and knowledge graphs with strict citation provenance, sub-second vector search, and zero-hallucination guardrails.

RAG Architecture Design

Delivery SLA & Metrics

99.8%
GROUNDED CITATION ACCURACY
<45ms
HYBRID VECTOR RETRIEVAL
10M+
PAGES INDEXED
14-day
PRODUCTION PILOT

Core Architectural Capabilities

Engineered with production rigor to withstand high transactional throughput and regulatory scrutiny.

Deterministic Grounding

Enforce strict guardrails so the model never answers outside verified retrieval boundaries.

Role-Based Data Filtering

Vector permissions ensuring employees only retrieve documents they are explicitly authorized to view.

Continuous Evaluation

Automated regression tests running daily against real customer queries to prevent degradation.

Production Deliverables

Custom OCR chunking pipeline for complex tabular PDFs and scans
pgvector & Qdrant hybrid sparse/dense vector search topologies
Semantic re-ranking model integration (Cohere / BGE)
Automated evaluation benchmark measuring faithfulness and context recall
PRODUCTION METHODOLOGY

How We Deliver RAG Architecture Design.

Every RAG Architecture Design engagement is executed by full-time senior engineers under strict European legal governance. We don't build prototypes that get thrown away — we engineer modular, tested systems ready to withstand high transaction volumes.

14-day rapid onboarding plugged directly into your GitHub & Jira
Continuous CI/CD integration with automated regression testing
EU B2B contract from Warsaw with full intellectual property assignment
RAG Architecture Design enterprise software architecture
MELOS Architecture: Sub-second p99 latency • Zero technical debt

Accelerate your engineering roadmap with MELOS.

Vetted senior talent plugged into your team within two weeks under an EU legal contract from Warsaw.