Building a Production RAG Ingestion Pipeline on AWS: Unstructured.io, S3 Vectors, and a Private VPC

1. 1Build a private VPC on AWS to host your RAG ingestion pipeline
2. 2Configure Unstructured.io to ingest unstructured data
3. 3Use S3 Vectors to store and manage vector embeddings
4. 4Integrate Unstructured.io with S3 Vectors and your private VPC
5. 5Test and deploy your RAG ingestion pipeline to production

This tutorial is beneficial for machine learning engineers, data scientists, and DevOps teams who want to build a scalable RAG ingestion pipeline on AWS. It helps them to overcome production limits and improve the performance of their knowledge base

💡 Using a private VPC and self-hosted tools like Unstructured.io and S3 Vectors can help scale your RAG ingestion pipeline and improve performance

💡 Build a scalable RAG ingestion pipeline on AWS using Unstructured.io, S3 Vectors, and a Private VPC