Search resumes and documents by meaning, not just keywords

Type what you're looking for in a candidate and get matching resumes back, even if the exact words don't appear.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(("recruiter types search query")):::human s0[("search document library")]:::store s1["combine keyword and meaning search"]:::svc s2["rank matching results"]:::task s3["return ranked list"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"ranked list of matches"/]:::out pay{{"faster candidate search"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceA personA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Chatbots & AssistantsKnowledge Base & RAGHR & Recruiting
Connects
Oracle Database

The problem it solves

Keyword search misses good candidates just because their resume uses different words than the ones you searched for. You end up scrolling through a pile of documents trying to find the right match by hand.

Who it fits

Recruiters or HR teams sorting through large numbers of resumes or candidate documents.

How it works

  1. You type what you're looking for in a chat window, like a skill or trait
  2. The system searches your document library for meaning, not just exact words
  3. It combines keyword and meaning-based search for the most relevant matches
  4. You receive a ranked list of the best-matching resumes or documents
What you get

Strong candidates you'd have skipped past

Describe the candidate you want and get back matching resumes, even when they never used your exact search words.

What you get

A ranked list of the resumes or documents that best match what you're looking for.

What you need

An Oracle database set up to store and search your documents.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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