Enterprise Knowledge Search · Real-time Analytics
Workleap wanted to embed generative AI across its HR and talent-management suite without stitching together separate third-party tools for vector search, full-text search, filtering, and cross-product data retrieval.
Reported impact
Workleap shipped a proof of concept in a few days, brought Workleap AI to production quickly, improved data retrieval and analysis for managers, and removed manual review work from performance reviews and engagement analysis across a customer base of more than 20,000 companies.
Workleap extended its HR and talent-management suite with Workleap AI by layering MongoDB Atlas Search and MongoDB Vector Search onto the Atlas data platform it already used as its system of record. Product data from surveys, feedback, performance reviews, documents, calendars, audio recordings, and other connected business systems stays in Atlas, where hybrid search combines lexical matching and semantic retrieval to supply context for AI assistants and analytics. The same retrieval layer lets managers ask natural-language questions across multiple Workleap products, generate performance-review digests, search connected apps, and analyze employee-engagement trends without manually stitching together several datasets. Because storage, vector search, and text search live on one platform, Workleap built its proof of concept in days and moved to production quickly while avoiding a patchwork of third-party vector, filtering, and search tools.
Survey responses, feedback, performance-review data, documents, calendar information, and audio recordings remain in MongoDB Atlas, where Atlas Search and MongoDB Vector Search retrieve the most relevant context and feed Workleap AI features that answer questions, summarize data, and recommend actions to managers.
"It provides vector embeddings to the data pipelines for its enhanced data retrieval of documents, calendar information, audio recordings, and more using MongoDB Atlas Vector Search."
"With Workleap AI, the manager can just click on the report and have a full digest of what’s going on with their team."
"Workleap built an AI-powered talent management platform in a short timeframe using the hybrid search capabilities of MongoDB Atlas."
"Workleap launched a proof of concept of Workleap AI in just a few days."
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