AI & Automation8 min readAugust 2026
Building Practical AI Agentic Workflows with RAG & Document OCR Pipelines
DV
Devolopy AI Lab
Lead Machine Learning Engineer
Generative AI is only useful to an enterprise when connected directly to its operational database and business logic. We break down the real-world deployment of autonomous document OCR pipelines and customer triage copilots.
1. Hybrid Retrieval Augmented Generation (RAG) Architecture
Standard keyword search fails on complex technical inquiries, while raw vector embeddings can miss exact SKU and invoice codes. We implement a hybrid retrieval architecture combining PostgreSQL Full-Text Search (tsvector) with pgvector cosine similarity, achieving 99.2% precision on internal knowledge base retrieval.
2. Autonomous Document OCR & Invoice Verification
Supplier invoices arriving via PDF and email are automatically ingested by n8n pipelines, normalized via multi-modal vision models, cross-checked against purchase orders in ERP, and pre-approved for accountant sign-off in seconds.
Topics:#AI Agents#n8n Workflows#RAG#PostgreSQL pgvector#LLM
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