Insights
Practical engineering notes for production AI systems.
ViaCatalyst publishes insights for teams planning data orchestration, workflow automation, RAG, agent systems, evaluation, and reliable AI operations.
Latest insights
RAG Evaluation Checklist Before Production
The quality, grounding, latency, permission, and regression checks teams should define before RAG answers reach real users.
Agent Workflow Approval Gates: Where Humans Stay In The Loop
How to decide where agents can act, where deterministic checks should block them, and where human approval is part of the architecture.
PostHog For AI Products: What To Track Beyond Page Views
The product and AI events that help teams connect source, feature interest, retrieval quality, agent behavior, and conversion intent.
Enterprise RAG Permissions: Tenant, Role, And Record-Level Filters
How permission boundaries should travel from source systems into retrieval, context assembly, model prompts, and answer traces.
Secure LLM Data Ingestion Architecture for Enterprise RAG
How to design ingestion pipelines, metadata, permissions, and freshness controls before connecting internal data to LLM workflows.
LangGraph Architecture for Production Agentic Workflows
Why production agents need graph state, tool contracts, checkpoints, retries, and human approval gates.
RAG Evaluation Rubrics for Hallucination Mitigation
How to score grounding, retrieval quality, policy alignment, latency, and cost before AI outputs reach users.
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