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Case study, RAG platform

OmniAssist: cloud-agnostic RAG, proven in production.

A knowledge platform built to enterprise standards, deployed across two clouds without touching the code.

The problem

Teams want production RAG without betting their data and roadmap on a single cloud or model vendor, and without accepting the reliability gap between a demo and a system real users depend on.

The architecture

  • ›Hexagonal, ports-and-adapters core: cloud and model providers are swappable adapters.
  • ›Agentic intent routing between the vector knowledge base and live web search.
  • ›Per-Product-ID segregation for clean multi-tenancy.
  • ›LangGraph orchestration with Pydantic-structured outputs and LangSmith tracing.

What shipped

A complete pipeline from PDF and OCR ingestion through semantic chunking, embeddings, and source-cited answers, delivered January to April 2026, with prompt caching and batch priority processing for cost control.

Clean handoff

Documented adapters, budgets, and decision records, so the owning team runs and extends it without depending on us.

Talk about a build like this →