Sign in to confirm you’re not a bot
This helps protect our community. Learn more

CosmicTalent: Workforce Efficiency with AI-Driven Vector Search

Microsoft Developer
589K subscribers
<__slot-el>
<__slot-el>
147 views 1 year ago #azure #azurecosmosdb #azurecosmosdbconf
Divakar Kumar - Flyers Soft Private Limited CosmicTalent: Workforce Efficiency with AI-Driven Vector Search Session details 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. Bio I'm a Microsoft Certified Trainer and Cloud Architect with expertise in  …...more
...more
CosmicTalent: Workforce Efficiency with AI-Driven Vector Search
4Likes
147Views
2024Apr 16
Divakar Kumar - Flyers Soft Private Limited CosmicTalent: Workforce Efficiency with AI-Driven Vector Search Session details 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. Bio I'm a Microsoft Certified Trainer and Cloud Architect with expertise in designing, developing, and architecting robust and scalable solutions with Azure and the .NET stack. I'm passionate about leveraging cloud technologies and DevOps to provide innovative solutions to complex business problems. I'm an active speaker at events and meetups, and I contribute to the community through my blogs at https://iamdivakarkumar.com. I'm also working on a personal project to explore Azure services with real-time implementations based on different use cases at https://azpark.iamdivakarkumar.com. #azurecosmosdb #azurecosmosdbconf #azure Links: See all the videos from Azure Cosmos DB Conf 2024: https://aka.ms/AzureCosmosDBConf/videos Try Azure Cosmos DB Free: https://aka.ms/trycosmosdb Microsoft Developers AI Learning Hackathon: https://aka.ms/azurecosmosdbhackathon Try Azure Cosmos DB free with Azure AI Advantage: https://aka.ms/AzureAIAdvantage Subscribe to Azure Cosmos DB on YouTube:    / azurecosmosdb   Follow Azure Cosmos DB on X:   / azurecosmosdb   Follow Azure Cosmos DB on LinkedIn:   / azure-cosmos-db   Watch Azure Cosmos DB Conf 2024 for an unparalleled learning experience, featuring a carefully curated lineup of 20+ sessions, including exclusive on-demand presentations and a dynamic three-hour live show. Our sessions, delivered by Azure Cosmos DB product managers, Microsoft experts, and esteemed community leaders, are tailored for today's tech professionals in concise 15-minute formats.

Follow along using the transcript.

Microsoft Developer

589K subscribers