AI-powered workplace search: how it works, benefits, and more

This post details the implementation of an AI-powered workplace search using Meilisearch. It covers installing and launching Meilisearch, connecting it with the OpenAI API, defining documents with role-based access control, configuring the Meilisearch index to handle embeddings (specifically 1536-dimensional vectors from text-embedding-3-small), and indexing documents with generated embeddings. The process involves converting user queries into vectors and leveraging Meilisearch's keyword-based search combined with semantic vector search.