RAG with Azure Open AI and Contextualised Neo4J Chatbot for Document Digitization

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Session Track:

Session Time: 10:45 pm - 11:00 pm November 7

Session description

Antonio will demonstrate combining Azure Open AI and Neo4J for the automated classification and knowledge extraction of legal documents (service agreements, professional agreements, licenses, etc.) into a Neo4J knowledge graph. The knowledge graph will provide full contract traceability and lineage through the agreement and the corresponding variations, renewals, and terminations. Combining these technologies provides law firms with a fully contextualised and enriched view of their unstructured data. In the demo, a ChatBot QA interface will interact with documents by accessing the indexed content and the Neo4j knowledge graph, providing highly accurate responses to the users.

Speaker

Antonio Zaballos

AI Engineer, Aptitude Global

An Information Analyst professional with a passion for mathematics, statistics, and Data Scientist techniques, driven by innovation and new technologies. This individual is passionate about using analytical and Artificial Intelligence skills to drive engineering decisions. Throughout their professional experience, they have demonstrated an ability to excel at adapting to and confronting new challenges, always giving their best and performing at the highest level possible. They have an aptitude for dealing with ambiguity and enthusiasm for solving difficult issues. They are obsessively passionate and inquisitive, seeking to solve everyday problems in innovative ways. They are laser-focused on the smallest details that are important to customers.