How to Improve RAG / LLM Accuracy & Resilience with Change Data Capture

Register here.

Change Data Capture (CDC) aims at detecting and tracking changes made to data. It is more efficient than batch processing to capture and propagate these changes in real-time to other systems, to keep data synchronized across multiple platforms and databases. This also applies to boosting efficiency and accuracy in AI systems such as LLMs.

Overview

Join Eric Hanson in this exclusive webinar to explore a new no-code tool designed to simplify data migration and Change Data Capture (CDC). Learn how you can move schema and data in hours, not days, from major sources like SQL Server, Oracle, MySQL, and PostgreSQL.

Whether you're migrating to a new platform or setting up ongoing CDC pipelines, SingleStore Flow offers unmatched speed and simplicity, empowering businesses to modernize their data infrastructure effortlessly.

You’ll learn:

• How to migrate schema and data quickly and easily.
• Key benefits of this no-code solution, including accelerated migrations and efficient CDC pipelines.
• How to integrate data from SQL Server, Oracle, MySQL, and PostgreSQL into a more efficient vector-based platform.
• Real-world use cases and a live demonstration showcasing capabilities.

Target audience

This hands-on workshop is for developers and AI professionals, featuring state-of-the-art technology, case studies, code-share, and live demos. Recording and GitHub material will be available to registrants who cannot attend the free 60-min session.

➡️ Register here.

#llms #accuracy #rag