Library / Documents, PDF & OCR
Documents, PDF & OCR
Manualtrigger Workflow
When you run it, it reads and extracts data from documents with Google Gemini using Google Drive.
What it does
## 3. Parse Resume with Multimodal LLM [Read more about using Basic LLM Chain]({{ $env.WEBHOOK_URL }} Multimodal LLMs are LLMs which can accept binary inputs such as images, audio and/or video files. Most newer LLMs are by default multimodal and we'll use Google's Gemini here as an example. By processing each candidate's resume as an image, we avoid scenarios where text extraction fails due to layout issues or by picking up "hidden" or malicious prompts planted to subvert AI automated processing. This vision model ensures the resume is read and understood as a human would. The hidden bypass is therefore rendered mute since the AI also cannot "see" the special prompt embedded in the document.
The steps
- When clicking ‘Test workflow’
- Structured Output Parser
- Should Proceed To Stage 2?
- Download Resume
- PDF-to-Image API
- Resize Converted Image
- Google Gemini Chat Model
- Candidate Resume Analyser
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