Insights, updates,
and engineering depth.
Product announcements, research findings, and deep engineering articles from the Liya Engine team.
How Domain Packs Work: Vertical Intelligence at Scale
Domain Packs bundle prompt templates, retrieval strategies, output schemas, and guardrails into a single deployable unit. Here's how we built them.
Memory Strategies for Long-Running Agents
Short-term buffers, episodic memory, and semantic retrieval — understanding which memory architecture fits which agent use case.
Guardrails in Production: Lessons from 100M API Calls
What we learned about policy enforcement, latency trade-offs, and balancing safety with capability after processing 100 million API calls in beta.
Case Study: How StoryHire Replaced Resume Screening with Deep AI
A look inside StoryHire's journey from traditional ATS matching to skills-inference AI — built entirely on the Liya Engine Talent Intelligence Pack.
RAG Pipeline Architecture: Beyond Naive Chunking
Semantic chunking, metadata filtering, hybrid search, and re-ranking — the retrieval stack that powers Liya Engine's knowledge layer.
Designing Multi-Agent Workflows That Actually Work
Routing, delegation, error recovery, and observability in multi-agent systems. Patterns we've distilled from months of production workloads.