Questions
Answer the following questions with yes or no:
- Does the chapter focus on building a scalable knowledge-graph-based RAG system using the Wikipedia API and LlamaIndex?
- Is the primary use case discussed in the chapter related to healthcare data management?
- Does Pipeline 1 involve collecting and preparing documents from Wikipedia using an API?
- Is Deep Lake used for creating a relational database in Pipeline 2?
- Does Pipeline 3 utilize LlamaIndex to build a knowledge graph index?
- Is the system designed to only handle a single specific topic, such as marketing, without flexibility?
- Does the chapter describe how to retrieve URLs and metadata from Wikipedia pages?
- Is a GPU required to run the pipelines described in the chapter?
- Does the knowledge graph index visually map out relationships between pieces of data?
- Is human intervention required at every step to query the knowledge graph index?
