GraphAcademy
Course · Part of Build a Neo4j-backed Application

Build a Neo4j-backed Chatbot with TypeScript

23 lessons across 6 modules
Generative AI & GraphRAGGenAIAdvancedBuild a Neo4j-backed ApplicationContext Engineer
About this course

In this course, you will learn

  • Building a Neo4j-backed Chatbot

  • Using Neo4j with LangChain

  • Retrieval Augmented Generation (RAG)

Course content

6 modules, 23 lessons.

  1. 3 lessons
    1. Introduction
    2. Project Setup
    3. Course Objective
  2. 3 lessons
    1. Chains and LCEL
    2. Answer Generation Chain
    3. Evaluating LLM Responses
  3. 5 lessons
    1. Using Conversation History
    2. The Conversation Model
    3. Connecting to Neo4j
    4. Persisting Responses
    5. Question Rephrasing
  4. 3 lessons
    1. Working with Vector Stores
    2. Creating a Retrieval Chain
    3. Using History to Filter ResultsOptional
  5. 4 lessons
    1. Cypher Generation Chain
    2. Cypher Evaluation Chain
    3. Authoritative Answers
    4. Cypher Retrieval Chain
  6. 5 lessons
    1. Agent Architecture
    2. Agent Tools
    3. Creating the Agent
    4. Using the Agent
    5. Limiting Agent Scope
Where to next

Keep going on Build a Neo4j-backed Application.

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Building Knowledge Graphs with LLMs

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Introduction to Vector Indexes and Unstructured Data

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Constructing Knowledge Graphs with Neo4j GraphRAG for Python

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