Discover how to build a RAG workflow for Agentic AI without code in this new demo from YugabyteDB expert David Roberts.
Follow along as he walks you through how to use n8n to embed unstructured data in YugabyteDB, making it available to an AI agent.
This demo shows you how to build a Retrieval Augmented Generation workflow and demonstrates how YugabyteDB supports geo-placement requirements.
Watch now - no previous coding experience required!
➡️ Read our in-depth blog to find out more: https://www.yugabyte.com/blog/build-a-rag-workflow-for-agentic-ai-without-codev/
➡️ Get the blog examples on GitHub: https://github.com/yugabyte/blog-examples/tree/main/ai_rag
Want to know even more?
➡️ Discover how to architect GenAI and RAG Apps with YugabyteDB: https://www.yugabyte.com/ai/
➡️ Join the YugabyteDB open source community: https://inviter.co/yugabytedb
➡️ Get started with YugabyteDB Aeon: https://cloud.yugabyte.com/signup
➡️ Check out YugabyteDB on GitHub: https://github.com/yugabyte
➡️ Connect to our social channels: https://linktr.ee/yugabyte
