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👉 Access our Agentic RAG Starter app in our community: https://www.theaiautomators.com/?utm_source=youtube&utm_medium=video&utm_campaign=tutorial&utm_content=jev-rag 🔗 Jev by TypeSafe Website: https://typesafe.ai/ Documentation: https://docs.typesafe.ai/ Reranking cookbook: https://docs.typesafe.ai/cookbooks/rerank_typesafe Citation checking cookbook: https://docs.typesafe.ai/cookbooks/citation_check A RAG agent makes a lot of decisions before it gives you an answer, and using an LLM for all of those small calls can get slow and expensive. That's where I've been using Jev in our agentic RAG app. I've integrated it for three jobs: model routing, steerable reranking and citation checking. In this video, you can see those features working in the app and follow the actual calls in Langfuse. We look at what a System One decision model is, how to ask Jev a question, and where else it could fit into your own AI systems. If you're building a RAG app or an agent, these are practical examples you can use to think through your next upgrade. ⏱️ Timestamps: 00:00 Jev RAG 04:38 Agentic RAG pipeline 05:39 Langfuse Trace 08:57 Question Types 10:48 Steerable Reranking 13:32 More Jev Uses #AI #Jev #RAG #AgenticRAG #AIAgents #Reranking #ModelRouting #Langfuse

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