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GraphAcademy Live: Neo4j & LLM Fundamentals
Discover the power of integrating Neo4j with Generative AI models through Langchain.
Learn how to harness graph databases to enhance the accuracy and reliability of Large Language Models (LLMs) by grounding them with factual information, effectively preventing misinformation or ‘hallucinations.’ We go hands-on using Langchain and Python to seamlessly connect an LLM with Neo4j, leveraging Cypher and Vector Indexes for robust AI applications. Although our focus is on OpenAI models, Langchain’s versatility allows for the exploration of various LLMs.
Presenter: Martin O’Hanlon
Full Course: https://graphacademy.neo4j.com/courses/llm-fundamentals/
Learn how to harness graph databases to enhance the accuracy and reliability of Large Language Models (LLMs) by grounding them with factual information, effectively preventing misinformation or ‘hallucinations.’ We go hands-on using Langchain and Python to seamlessly connect an LLM with Neo4j, leveraging Cypher and Vector Indexes for robust AI applications. Although our focus is on OpenAI models, Langchain’s versatility allows for the exploration of various LLMs.
Presenter: Martin O’Hanlon
Full Course: https://graphacademy.neo4j.com/courses/llm-fundamentals/