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:
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How to initialize an LLM
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How to create chains and agents
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How to use conversational memory to maintain context
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How to implement Retrieval Augmented Generation (RAG) strategies, including:
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Using prompts to provide instructions and context
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Using Neo4j vectors to query a graph database
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