Graph RAG Insights

Prashanth emphasizes the importance of viewing graph retrieval as a combination of tools rather than a standalone solution. He highlights the challenges of constructing graphs from existing data, which many encounter when trying to enhance their retrieval processes. Daniel adds to the discussion by reflecting on the complexities of graph construction and the potential benefits of using advanced tooling like llama index.

In this clip
From this podcast
Practical AI
GraphRAG (beyond the hype)
Related Questions
- Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?

Graph RAG Insights

In this clip

From this podcast

Practical AI

GraphRAG (beyond the hype)

Related Questions

Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?