AI Platforms

Talent Hustler is built to manage and maintain complex relationships, dependencies, and the inter-relationship of various entities. For example how a skill might relate to another, or what fields it belongs to. It understands that the skill 'containers' is very different in the logistics field than it is in tech.

To support this sort of search capability (and other features that draw on the same architecture & design patterns) we use vector based RAG for fast retrieval, but back this with a knowledge graph database that expands the search to look for related entities that may not have been picked up by the RAG search, and uses a Reciprocal Rank Fusion (RRF) ranking algorithm along with various weightings to tune the results based on importance.

The graph database needs to be populated with this relational data, so when it encounters a skill, field (or other sort of entity) that it has never seen before, it verifies and enriches this data with AI.