AI to enhance your
recruitment processes

At Dionitech we custom build solutions for recruiting agencies and headhunting firms to enhance their productivity and cut back admin time.

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Case 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

Current Candidate Search

Efficient search through unstructured data
Struggles with unstructured data formats
Handles diverse document formats seamlessly
Limited to specific file types or formats
Intelligent matching based on context
Relies on exact keyword matching
Quickly finds relevant candidates
Time-consuming manual database searches
Eliminates need for maintaining databases
Requires constant database maintenance

Do you also want to apply RAG
to your recruitment business?

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