Simple LangChain Agent

Throughout this course, you will be adapting a simple LangChain agent to interact with Neo4j.

You will update the agent to query a Neo4j graph database, retrieve information using RAGFetching relevant context from an external data source as additional context to inform a language model's response. and GraphRAGRetrieval-augmented generation whose context comes from a knowledge graph, so the model can follow the relationships between facts., and dynamically generate CypherNeo4j's implementation of GQL, the ISO standard query language for graph databases. It is declarative: you describe the pattern to find, and the database decides how to find it. queries based on user input.