Vertex AI Tutorial #6: Document Processing with Vertex AI (Gemini) & Python
Key Takeaways
This video teaches how to process and analyze documents using Google Cloud Vertex AI with the Gemini 2.0 Flash model and Python, covering authentication with Service Account JSON, initializing the Vertex AI SDK, and extracting data from PDFs and text files.
Original Description
In this tutorial, we dive into Google Cloud Vertex AI to process and analyze documents using the Gemini 2.0 Flash model. I'll show you step-by-step how to set up your service account credentials, initialize the Vertex AI SDK, and use the GenerativeModel to extract data from PDFs and text files.
What you will learn:
✅ Authenticating with Service Account JSON in Python.
✅ Initializing Vertex AI with Gemini 2.0 Flash.
✅ Using Part.from_uri to handle PDF and Text files from Google Cloud Storage (GCS).
✅ Prompt Engineering for document summarization and specific data extraction (e.g., invoice details).
Code Highlights:
Setting up PROJECT_ID and REGION.
Handling Multimodal inputs (PDF + Text).
Querying invoices for specific line items and balances.
Timestamps: 0:00 Introduction 0:45 Authentication & Setup 2:30 Processing PDF Invoices 4:15 Extracting Specific Data from Documents 5:45 Processing Large Text Files 7:00 Wrap up
#GeminiAI #VertexAI #GoogleCloud #Python #GenerativeAI #DocumentAI #Gemini2Flash #GCP
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