Chat Against Private Documents with KAITO RAG Engine on Azure Kubernetes скачать в хорошем качестве

Chat Against Private Documents with KAITO RAG Engine on Azure Kubernetes

KAITO RAG Engine on Azure Kubernetes Service is a Kubernetes-native way to run a full Retrieval-Augmented Generation (RAG) backend fully hosted inside your own Azure environment. I will demo a real RAG system on Azure Kubernetes Service (AKS) using the KAITO RAG Engine - https://github.com/kaito-project/kaito You’ll see how to: High level architecture and configuration with KAITO RAG Engine on AKS Understand the RAG architecture (ingestion, embedding, retrieval, inference) Ingest and index real documents into the RAG Engine Connect the system to a Streamlit-based chatbot UI Query your own data using an LLM—live and in real time The session is practical, code-driven, and demo-heavy, with a focus on how these components fit together in a cloud-native, scalable architecture. Whether you’re a cloud engineer, platform engineer, or AI developer, you’ll walk away with a clear mental model—and a working reference of a RAG system on Kubernetes.