Building an AI-powered ChatBot using Vercel, OpenAI, and Postgres

The article provides a step-by-step guide on building an AI-powered ChatBot using Vercel, OpenAI, and Postgres. It covers the basics of word embeddings, their importance in natural language processing, and how to use OpenAI's API to create embeddings, store them in Postgres using the pgvector extension, and generate answers using OpenAI's completion method. The article also discusses fine-tuning the model using user feedback and gathering data using the OpenAI CLI. It highlights the importance of optimizing performance and user experience while reducing costs.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.