Announcing LlamaIndex support for Amazon Neptune to build GraphRAG applications
News
This article announces the integration of LlamaIndex with Amazon Neptune, allowing developers to build Graph Retrieval-Augmented Generation (GraphRAG) applications by combining knowledge graphs stored in Amazon Neptune and Large Language Models (LLMs) available in Amazon Bedrock.
Specifically, the article covers:
- Retrieval-Augmented Generation (RAG) and its ability to improve LLM output by leveraging external knowledge sources
- Knowledge graphs and their role in consolidating and integrating an organization's information assets
- GraphRAG, which uses knowledge graphs to further enhance RAG applications by relating concepts and entities across underlying content
- The announcement of LlamaIndex support for Amazon Neptune, enabling developers to create GraphRAG applications with knowledge graphs stored in Amazon Neptune
- A link to the Amazon Neptune GraphStore documentation for getting started with this integration
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