Concise, practical answers across backend, frontend, architecture, AI automation and leadership.
Retrieval-Augmented Generation combines retrieval of relevant information with language generation. It helps an AI workflow ground responses in application-specific or trusted information instead of relying only on the model's general knowledge.
n8n is a workflow automation platform that can connect applications, APIs, databases, communication channels and AI services into repeatable workflows.
Start with a clear resource and request contract, define validation rules, identify lookup dependencies, keep responses consistent, document edge cases, and make authorization and error handling explicit.
A Technical Lead combines technical decision-making with delivery leadership: architecture, code quality, reviews, mentoring, requirement clarification, risk management, coordination and helping the team deliver incrementally.
Maintain conversation context using a stable conversation/session identifier, persist messages in a suitable store, retrieve only the relevant history, and combine it with semantic caching when a previous answer can safely satisfy a new query.
Instead of matching only exact questions, create embeddings for user queries and compare them with cached questions/answers. When similarity exceeds a defined threshold and the cached result is still valid, return it without invoking the LLM again.