Building a RAG-Powered News Assistant with LangChain4J and Qdrant

The Problem — Too Much to Read, Too Little Time Every morning starts the same way. You open your favorite news channels, blog feeds, and Telegram groups — and the wall of unread posts hits you. Dozens of articles, updates, announcements. You need to understand what happened overnight, but reading everything is not realistic. You skim, miss context, and occasionally discover three days later that something important slipped through. What if you could just ask? Not a search engine — a conversational assistant that has already read everything and can answer questions about it. “What were the key announcements yesterday?” “Did anyone mention breaking changes in the new Kafka release?” “Summarize the posts about Kubernetes security.” ...

March 23, 2026 · 19 min · Alisher Alimov