💰 Scope: $14,000 Scope
🏢 Client / Engagement: OmniCore Systems
⚡ Verified Production SLA: 83% Accuracy Lift • 4min Resolution
🛠 Core Technologies: Python • pgvector • PostgreSQL • FastAPI • React • OpenAI

Executive Architecture Summary

Autonomous document indexing, semantic chunking, and sub-second hybrid retrieval engine over 800,000 technical manuals.

The Challenge\n\nEngineering and operations teams lost over 4 hours per week hunting down scattered technical documentation and API specifications across internal systems.\n\n## Architecture\n\n- Python & FastAPI asynchronous document processor\n- pgvector on PostgreSQL with HNSW index\n- Hybrid dense/sparse retrieval with cross-encoder re-ranking\n- Real-time streaming UI in React\n\n## Results\n\nSearch accuracy improved by 83%; average time to resolve internal support inquiries reduced from 26 minutes to 4 minutes.

Technologies Deployed:

PythonpgvectorPostgreSQLFastAPIReactOpenAI
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