

Document Ingestion for RAG w/ Reducto
LLMs are only as good as the data we feed them. Real-world documents are dense, messy and complex - without a good ingestion layer, RAG pipelines can become inaccurate and unreliable.
Join us to explore how Reducto helps enterprises turn documents into data with high accuracy at scale. Having processed 1 billion pages to date, Reducto powers a large variety of customers - from large enterprises (top hedge funds, fortune 5 company) to AI startups, across all industries.
💬 Plus: hands-on time with Reducto’s API and tooling, and time to explore document ingestion challenges with fellow ML engineers and data folks.
Please bring an internet-facing laptop for this hands-on session.
🗓️ Schedule
1430 – 1500: Registration & Setup
1500 – 1530: Introduction: Reducto’s approach to document processing
1530 – 1600: Hands-on walkthrough with Reducto, Q&A
👨💻Sharing by Alvin Ryanputra (Software Engineer, Reducto)
Reducto is a SF based startup that has raised $108m to date to help companies turn documents into data.
Alvin Ryanputra is a Software Engineer at Reducto, previously worked on AI-powered code optimization at CodeFlash, and vector databases at InterSystems. He completed his Master’s in Computer Science at Cornell Tech in New York City.
Don’t miss out! Limited slots available! Please note that Lorong AI members will be prioritised.