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How Neo4j Uses Graph Technology With LLMs to Replace SaaS Applications
- Stephen Chin, the VP of developer relations at Neo4j, discussed enhancing Large Language Models (LLMs) with graph technology at the Great International Developer Summit.
- Chin highlighted the limitations of LLMs to reason and provide accurate answers without sufficient information.
- He proposed pairing LLMs with knowledge graphs to offer a more complete solution for reasoning and accessing data.
- Chin emphasized that knowledge graphs allow for more logical and structured data representation.
- Graph databases, such as Neo4j, can help enhance LLMs with better data understanding and hidden relationship discovery.
- By integrating GraphRAG, LLMs can provide more accurate responses and expand on the questions asked.
- Companies like Klarna have successfully replaced over 1000 SaaS applications with the GraphRAG system using Neo4j for improved data connectivity and insights.
- Neo4j offers integrations with various tools like LangChain, Llama Index, Haystack, Pinecone, and Weaviate to help organizations leverage graph technology with LLMs.
- Chin highlighted that building general-purpose models may not meet the specific needs of enterprises in various industry applications.
- Neo4j's partnerships with companies like Docker aim to provide servers for utilizing their graph technology in conjunction with LLMs.
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