By leveraging the native vector search feature in Azure Cosmos DB for MongoDB vCore, we will develop a intelligent application that allows organization to do resource mapping and talent optimization in a better and efficient way.

We will start by uploading the resume of all employees via API/batch processing , which is then used by AI Document Intelligence to extract semantic chunks and stored in our vector database. Now, Manager/Business/HR users, queries with relevant JD or custom queries. Query is then vectorized, and then uses it in a vector query against the data stored in Azure Cosmos DB for MongoDB vCore. The results are then passed to Azure OpenAI Service which will then helps in listing all relevant candidates who are currently in bench.