Use LlamaIndex to Build a Retrieval-Augmented Generation (RAG) Application
Learn how to build a retrieval-augmented generation application to query general AI models with specific contextual information.
Discover how to build, deploy and run applications in production on Koyeb. The fastest way to deploy applications globally.
Learn how to build a retrieval-augmented generation application to query general AI models with specific contextual information.
In this tutorial, we show how to deploy an RAG chatbot built with the OpenAI embedding API, Replicate, pgvector, and the Koyeb Managed PostgreSQL service.