AI to enhance your recruitment processes
At talentkiwi we custom build solutions for recruiting agencies and headhunting firms to enhance their productivity and cut back admin time.
TALK TO USCase Study: RAG for candidate search
Retrieval-Augmented Generation is an AI enabled technology that allows to efficiently search through unstructured data. Candidates data (CVs, cover letters, job references) are inherently unstructured and are provided in a myriad of formats. That is why RAG is perfectly suited for this application. Dionitech applies RAG to candidate search, eliminating the need for maintaining messy databases and improving result accuracy. With RAG, you can find candidates at a glance.
RAG enabled candidate search vs. Status Quo
RAG Candidate Search
Efficient search through unstructured data
Handles diverse document formats seamlessly
Intelligent matching based on context
Quickly finds relevant candidates
Eliminates need for maintaining databases
Current Candidate Search
Struggles with unstructured data formats
Limited to specific file types or formats
Relies on exact keyword matching
Time-consuming manual database searches
Requires constant database maintenance