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This Spanish-language tutorial sets up a VoltAgent RAG application with Qdrant, tests it on the developer's machine, and deploys it to Cloudways. The speaker describes VoltAgent as a TypeScript framework for agent orchestration with an observability panel.
The walkthrough starts with a Qdrant cluster and its endpoint and API key. The speaker says the open source vector database can also run on a server through Docker, but uses Qdrant's cloud service for this example. After scaffolding the project, he installs dependencies with pnpm or npm and copies the example environment file into a .env file. The configuration needs an OpenAI API key alongside the Qdrant credentials. This setup runs the application locally while relying on external services; it does not demonstrate offline model inference.
The template creates a retrieval assistant and another assistant whose LLM decides when to use tools. The speaker tests API requests through Swagger and uses the observability interface to inspect agents and submit questions.
The Cloudways portion includes a promotional sponsorship. For the application deployment, he reuses a Cloudways server with Node.js and Git already installed. He connects through SSH, copies the environment settings, builds the project into JavaScript, and runs it with PM2 in the background. The final checks use a public URL and Postman, followed by a chat bubble demonstration on a landing page.
