https://www.infoq.com InfoQ LangChain4j Presentations feed https://www.infoq.com/presentations/context-engineering-redis-llm-architecture/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=LangChain4j+-presentations <img src="https://res.infoq.com/presentations/context-engineering-redis-llm-architecture/en/mediumimage/ricardo-ferreira-medium-1787820318843.jpg"/><p>Ricardo Ferreira discusses moving beyond simple prompt engineering to build production-grade AI applications. He shares practical architectural strategies for integrating long-term and short-term memory using Redis, managing LLM token limits via summarization, mitigating context rot with reranking and semantic caching, and controlling exponential API costs under strict latency constraints.</p> <i>By Ricardo Ferreira</i> Retrieval-Augmented Generation Transcripts Architecture Redis Caching Generative AI QCon AI Boston 2026 LangChain4j Large language models Agents AI, ML & Data Engineering Architecture & Design Development presentation Wed, 02 Sep 2026 11:00:00 GMT https://www.infoq.com/presentations/context-engineering-redis-llm-architecture/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=LangChain4j+-presentations Ricardo Ferreira 2026-09-02T11:00:00Z /presentations/context-engineering-redis-llm-architecture/en