You've built a GenAI Chatbot with RAG and it works for easy questions, but as more complex questions come in… so do hallucinations often addressed with "I can't help you with that" guardrails. It's impossible to handle every edge case before you go live–you need a way to improve responses over time.

You're in luck! This livestream is about a technique that helps your app get smarter over time. Graph RAG can enable you to enhance responses all without needing to be an expert in Graph techniques or databases–that is if you’re using our contributed LangChain GraphVectorStore.

What you can do to improve hallucinations

Why combining the connectivity of knowledge graphs with semantic understanding improves RAG

How to leverage a hybrid graph/vector retrieval algorithm in LangChain

Don't miss this opportunity to explore the future of AI with Graph RAG.

Level Up Your GenAI Chatbot with Graph RAG & LangChain