Further reading
- Ghafarollahi, SciAgents: Automating Scientific Discovery through Multi-agent Intelligent Graph Reasoning, 2024, https://arxiv.org/pdf/2409.05556v1
- Raieli, A Brave New World for Scientific Discovery: Are AI Research Ideas Better?, 2024, https://levelup.gitconnected.com/a-brave-new-world-for-scientific-discovery-are-ai-research-ideas-better-5692c5aa8182
- Raieli, How the LLM Got Lost in the Network and Discovered Graph Reasoning, 2024, https://towardsdatascience.com/how-the-llm-got-lost-in-the-network-and-discovered-graph-reasoning-e2736bd04efa
- Wu, Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation, 2024, https://arxiv.org/abs/2408.04187
- Raieli, The Convergence of Graph and Vector RAGs: A New Era in Information Retrieval, 2024, https://medium.com/gitconnected/the-convergence-of-graph-and-vector-rags-a-new-era-in-information-retrieval-b5773a723615
- Sarmah, HybridRAG: Integrating Knowledge Graphs and...
