Explores the back-end architecture and API design of the Neo4j LLM Knowledge Graph Builder. Utilizes Python and FastAPI to create a scalable system that processes various document sources, integrates LangChain for generative AI, and employs vector embeddings for semantic analysis. The resulting knowledge graphs, stored in
Table of contents
LLM Knowledge Graph Builder Back-End Architecture and API OverviewIntroductionArchitecture OverviewAPI Endpoints in DetailSummarySort: