Show HN: PeopleMesh, Semantic Search for People (github.com)

PeopleMesh has launched as an AI-driven semantic search solution aimed at enhancing internal collaboration and mobility within organizations. This innovative platform utilizes a combination of embeddings and metadata-based ranking to connect employees with relevant colleagues, opportunities, and projects, allowing users to search using natural language rather than just keywords. By modeling the organization as a graph-like mesh, PeopleMesh effectively curates high-signal matches that cut through the noise of fragmented communication tools such as chat and spreadsheets. Significantly, PeopleMesh prioritizes privacy and security with robust features including granular consent management, GDPR compliance, and pseudonymized audit trails, ensuring that personal data is not monetized or mishandled. The open-source platform can be accessed via a web app, API, or through integrations with AI assistants, making it a versatile tool for organizations seeking to foster innovation and collaboration. With enterprise-grade support options available, PeopleMesh not only simplifies the discovery of internal talent and projects but also strengthens organizational dynamics in a privacy-conscious manner.