Introduction to Langchain

Module Overview

In the previous modules, you learned the theory behind Neo4j and Large Language Models and used Cypher to query a vector index.

In this module, you will interact with an LLM and Neo4j using Langchain and Python.

You will learn:

  • How to initialize an LLM

  • How to create chains and agents

  • How to use conversational memory to maintain context

  • How to implement Retrieval Augmented Generation (RAG) strategies, including:

    • Using prompts to provide instructions and context

    • Using Neo4j vectors to query a graph database

Ready? Let’s go →


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