---
title: "Discussion on \"From PDFs to Vectors: Building a Production-Grade LLM Ingestion Pipeline on AWS (Handling Data Drift the Right Way)\" | Hashnode"
description: "Discussion on \"From PDFs to Vectors: Building a Production-Grade LLM Ingestion Pipeline on AWS (Handling Data Drift the Right Way)\". Build an AWS-native pipeline for PDFs to vector embeddings, handling data drift with serverless architecture"
url: "https://hashnode.com/posts/from-pdfs-to-vectors-building-a-production-grade-llm-ingestion-pipeline-on-aws-handling-data-drift-the-right-way/694bce91335cbb09bf274108"
---

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# [From PDFs to Vectors: Building a Production-Grade LLM Ingestion Pipeline on AWS (Handling Data Drift the Right Way)](https://aekshant.hashnode.dev/from-pdfs-to-vectors-building-a-production-grade-llm-ingestion-pipeline-on-aws-handling-data-drift-the-right-way?utm_source=hashnode&utm_medium=feed)

Build an AWS-native pipeline for PDFs to vector embeddings, handling data drift with serverless architecture

Dec 24, 2025 · 4 min read · aekshant.hashnode.dev  
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## Written by

[kalyan dahake](https://hashnode.com/@kalyandahake)

@kalyandahake · India

  
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I'm building systems across industries, ensuring seamless software delivery. I manage everything from system design to deployment, driving operational excellence and client satisfaction.

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