Engineering Insights
Insights, patterns, and production experience from our engineering team, no fluff, just real-world systems thinking.
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Inside the process behind a production-grade RAG system: quantitative evaluation, hybrid retrieval, reranking, and on-prem data governance.
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Why LLM-generated curricula need a deterministic validation graph, not a longer prompt: topological sort, cycle detection, and the repair-loop architecture behind our EdTech platform's course generator.
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When a correct rate limiter becomes an incorrect architecture. How shared state, Redis, and layered edge protection solve the hardest distributed systems problems.
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Gateway-centric, distributed, or internal tokens? A practical guide to JWT trust boundaries with real-world tradeoffs across four production patterns.
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This is a situation many organizations encounter as they scale real-time data platforms. While synchronization technologies can move millions of records efficiently, business stakeholders ultimately care about one thing: whether the search results are correct. Here's how we approached that challenge using PostgreSQL, Kafka Connect, and OpenSearch.
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Inside the process behind a production-grade RAG system: quantitative evaluation, hybrid retrieval, reranking, and on-prem data governance.
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Part 1 of our RAG engineering series: hybrid retrieval, reciprocal rank fusion, cross-encoder reranking, and the roadmap that followed.
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Practical lessons from building Angular applications in production: signals, readonly semantics, and component architecture.
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