Deploy your favorite cutting-edge AI tech across continents. No credit card required.

Low latency AI workloads

Learn how to build a job search assistant with LlamaIndex using Retrieval-Augmented Generation (RAG) and MongoDB.

Using LlamaIndex and MongoDB to Build a Job Search Assistant

Deploy your AI-backed services on the best managed infrastructure in town and across continents. No credit card required.

Deploy AI apps worldwide

Learn how to build a retrieval-augmented generation application to query general AI models with specific contextual information.

Use LlamaIndex to Build a Retrieval-Augmented Generation (RAG) Application

Run RAG-powered chatbots and your favorite cutting-edge AI tech across continents. No credit card required.

Deploy global AI workloads

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.

RAG

Using LlamaIndex and MongoDB to Build a Job Search Assistant

Use LlamaIndex to Build a Retrieval-Augmented Generation (RAG) Application

Build a Retrieval-Augmented Generation Chatbot using pgvector