This video guide shows how you can use LlamaCloud and Tavily AI (https://tavily.com/) to build a Corrective RAG (https://arxiv.org/abs/2401.15884) workflow. The workflow uses the indexed documents on Llamacloud as a primary tool, but falls back to web search using Tavily AI if the information presented in the query cannot be found on LlamaCloud.
Notebook: https://github.com/run-llama/llamacloud-demo/blob/main/examples/advanced_rag/corrective_rag_workflow.ipynb
LlamaCloud: https://cloud.llamaindex.ai/
For enterprise usage, come talk to us: https://www.llamaindex.ai/contact
