Learn how Pydantic AI's agent framework enabled a hallucination-free, multilingual chatbot that seamlessly handles both English and Arabic for journalist training.
Media
From 1% response rate to AI-powered journalism training
ARIJ Network, connecting investigative journalists across 22 countries in the Middle East and North Africa, partnered with Vstorm to build a RAG-based AI chatbot using Pydantic AI. The bilingual system (English/Arabic) transformed their training process from handling just 1% of inquiries to delivering reliable, fact-checked knowledge at scale while creating new revenue streams.
“Using the PydanticAI framework, it was possible to build the agent itself and a set of tools: one to connect with the database, and one to validate the answers and ensure their language correctness. With that, the agent itself could deliver the best response possible.”— Vstorm, ARIJ Network
Products Used:
Pydantic AI
5 mins
Related case studies
View all case studies
Sophos's SecOps AI team implemented Pydantic Logfire for unified tracing across their AI-powered security solutions. With end-to-end visibility and SQL-based monitoring, engineers now detect issues proactively and run side-by-side LLM experiments with Pydantic Evals.
Read more→
Boosted.ai implemented Pydantic Logfire for unified tracing and full-stack observability across 50,000+ AI research workflows. Allowing engineers to fnd and fix issues 12x faster, ensuring exceptional reliability and uptime for institutional finance clients.
Read more→
Explore Logfire
Explore our open source packages
