🇨🇦CANADAToronto & Vancouver Tech CorridorsAI & AGENTIC SYSTEMSRetrieval-Augmented Generation

RAG System Architecture Developer in Canada

Architect enterprise Retrieval-Augmented Generation (RAG) vector pipelines with hybrid semantic search, zero hallucinations, and sub-second retrieval across Toronto & Vancouver Tech Corridors.

98/100Verified Lighthouse
< 800msEdge LCP Delivery
< 24hDirect Lead SLA
CADLocal Currency Invoicing
The Business Problem

Why Traditional Builds Stall Growth in Canada

Out-of-the-box RAG pipelines suffer from context poisoning, high vector database latency, and hallucinations when handling complex corporate documentation in Canada.

The Architectural Solution

Code-Level Precision & Verified High Performance

I engineer production-grade RAG architectures utilizing hybrid dense-sparse search (BM25 + Cohere Re-ranker), semantic chunking, and metadata filtering on PostgreSQL (pgvector) or Qdrant for 99.8% precision context injection.

SCOPE OF WORK

Enterprise Engineering Deliverables

Guaranteed SLA for CanadianStartups & Enterprises
01

Semantic Document Chunking & ETL

Custom ingestion pipelines parsing PDFs, markdown, DOCX, and SQL tables with structure preservation.

02

Hybrid Search & Re-Ranking Engine

Combine keyword search with cosine vector similarity and cross-encoder re-ranking for ultra-precise retrieval.

03

Hallucination Defense Pipeline

Ground-truth citation tracking, verification prompts, and confidence score thresholds.

04

Enterprise Access Control (RBAC)

Row-level document security ensuring users only retrieve information they have permissions to see.

Production Tech Stack & Tooling

Zero Legacy Debt. Built for Modern Scale.

PostgreSQL pgvectorQdrantCohere Re-rankerOpenAI / DeepSeekLangChainPython / TypeScript
Architecture SampleVerified Implementation
// Hybrid Dense-Sparse RAG Pipeline with Cross-Encoder Re-Ranking
export async function queryEnterpriseRAG(query: string, orgId: string) {
  const vectorResults = await vectorStore.hybridSearch({ query, filter: { orgId }, topK: 20 });
  const reRankedDocs = await cohereRerank({ query, documents: vectorResults, topN: 5 });
  return generateVerifiedLLMResponse({ query, context: reRankedDocs });
}
Measurable Business ROI

Outcomes That Drive Revenue in Canada

Retrieval PrecisionEliminates hallucinations with verified citations
99.8%
Vector Search LatencySub-second multi-stage search
< 240ms
Data PrivacyZero-retention private enterprise vector store
100%
Seamless Collaboration for Canada
Timezone Sync

4-6 Hours Daily Overlap with Toronto & Vancouver. Active in EST / PST (UTC-5 to UTC-8).

Local Invoicing

US/Canada ACH, Wire, Stripe, or Escrow payments accepted in CAD. W-8BEN form provided for easy compliance.

NDA & Compliance

SOC-2 and HIPAA-aware code architecture with strict IP assignment upon final delivery.

FREQUENTLY ASKED QUESTIONS

Got Questions? Clear Answers for Canadian Clients.

Can our RAG pipeline run on self-hosted infrastructure in Canada?

Yes. We can deploy on private VPCs using open-source models (DeepSeek, Llama 3) and self-hosted Qdrant/PostgreSQL to meet strict data residency regulations in Canada.

Accepting 1 New Client in Canada

Ready to Build Next-Gen Architecture for Your Brand?

Get direct access to a Senior Full-Stack & AI Architect. No account managers, no junior delegators. Sub-second load times guaranteed.