Engineer High-Performance RAG Pipelines for Enterprise Data FusionEngineer High-Performance RAG Pipelines for Enterprise Data Fusion
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Enterprise RAG: Data Fusion at Scale
I engineered a high-performance RAG pipeline to unify 3 databases (18,000+ records) and 200+ pages of catalogs into a single conversational engine.
Technical Achievements:
• Data Fusion: Used GPT-4o to format and merge disparate sources into a unified, AI-ready schema.
• Scalable Indexing: Orchestrated Azure Functions to automate the merge-index process into Azure AI Search.
• Hybrid Retrieval: Implemented semantic search with high-dimensional embeddings for surgical accuracy in product discovery.
• Optimized Stack: Deployed via Azure Static Web Apps and API Apps, using GPT-4o-mini for fast, cost-effective responses.
Result: A scalable, enterprise-grade assistant that understands complex technical specs and real-time inventory with minimal latency.
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Creatives on Contra have earned over $150M and we are just getting started