How I Built an AI Document Ingestion Pipeline

1. 1Build a document ingestion pipeline using Sharp for image preprocessing
2. 2Apply GPT-4o vision for extracting structured JSON from images
3. 3Normalize the extracted JSON data for storage
4. 4Configure Postgres with pgvector for storing embeddings and enabling semantic search
5. 5Test the pipeline with various types of documents, such as receipts and utility bills

This project benefits developers and data scientists working on document processing and information retrieval tasks, as it provides a practical example of how to build an AI-powered document ingestion pipeline.

💡 Using GPT-4o vision and pgvector enables efficient and accurate extraction and storage of document data, making it easily searchable and retrievable.

📄🔍 Build an AI document ingestion pipeline that turns phone photos into structured JSON using GPT-4o vision and stores it in Postgres with embeddings for semantic search! #AI #DocumentProcessing