GraphAcademy

GenAI and GraphRAG

generative AI

Models that produce new content rather than classifying or scoring content that already exists.

Lessons that use this term

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25 lessons use this term. Results are ordered by term density.

Neo4j & GenerativeAI Fundamentals10 mentions

  • What is Generative AIGenerative AIGenerative AI (or GenAI) refers to artificial intelligence systems designed to create new content that resembles human-made6 mentions
  • What is a Knowledge GraphKnowledge Graphsgraphs are useful for Generative AI applications because they provide structured, interconnected data that enhances context, reasoning, and accuracy in2 mentions
  • GenAI FrameworksIntegrating Neo4j with Generative AIcommunity-supported frameworks are available to help you integrate Neo4j with generative AI and large language models1 mention
  • GraphRAG for PythonIntegrating Neo4j with Generative AIpackage (neo4j-graphrag) allows you to access Neo4j Generative AI functions1 mention

Neo4j and Generative AI Workshop13 mentions

  • What is Generative AIGenerative AIGenerative AI (or GenAI) refers to artificial intelligence systems designed to create new content that resembles human-made6 mentions
  • Create a graphKnowledge Graph Constructionare going to create a knowledge graph from the text within the Neo4j & Generative AI Fundamentals2 mentions
  • What is a Knowledge GraphGenerative AIgraphs are useful for Generative AI applications because they provide structured, interconnected data that enhances context, reasoning, and accuracy in2 mentions
  • Extracting a schema from textKnowledge Graph Constructionpackage (neo4j-graphrag) allows you to access Neo4j Generative AI1 mention
  • GraphRAG for PythonGenerative AIpackage (neo4j-graphrag) allows you to access Neo4j Generative AI functions1 mention
  • Vector + Cypher retrieverRetrievalHow can I use GraphRAG in my Generative AI1 mention

Building Knowledge Graphs with LLMs11 mentions

  • Complete the GraphLLM Graph Builderfile that contains all the lessons from the Neo4j and Generative AI1 mention
  • Neo4j LLM Graph BuilderLLM Graph Builderwill use the lessons from the Neo4j & Generative AI Fundamentals3 mentions
  • Querying using CypherExploring your knowledge graphentity.id | otherDocument.id | | --- | --- | | Generative AI | genai-fundamentals_3-knowledge-graphs_1-what-is-a-knowledge-graph.pdf | | Large Language Models |6 mentions
  • Benefits and challengesKnowledge graphsgraphs have become invaluable tools, particularly in Generative AI, due to their ability to represent complex relationships and interconnections between data1 mention

Introduction to Vector Indexes and Unstructured Data4 mentions

  • Turning data into knowledgeImporting unstructured dataNeo4j & Generative AI Fundamentals [Building Knowledge Graphs with1 mention
  • Import data with Python and LangChainImporting unstructured datawill load the content from the course [Neo4j & Generative AI2 mentions
  • Create a graphImporting unstructured datathe first lesson of the Neo4j & Generative AI Fundamentals course has the following1 mention

Constructing Knowledge Graphs with Neo4j GraphRAG for Python4 mentions

  • Create a graphKnowledge Graph PipelineNeo4j & Generative AI Fundamentals2 mentions
  • Extracting a schema from textKnowledge Graph PipelineGraphRAG for Python package (neo4j-graphrag) allows you to access Neo4j Generative AI1 mention
  • Vector + Cypher retrieverRetrievalof real-world entities... Knowledge graphs are also useful for Generative AI because they provide structured, interconnected1 mention

Neo4j Fundamentals3 mentions

  • Graphs Are EverywhereGraph Thinkinghave become an important part of developing Generative AI (GenAI)3 mentions

Building Neo4j Applications with Spring Data1 mention

Building Agents in Neo4j Aura3 mentions

  • Introduction to Aura AgentIntroduction to Aura AgentGenerative AI assistance Aura2 mentions
  • Next StepsPublishing AgentsFundamentals](/courses/genai-fundamentals/) — Understand the fundamentals of generative AI and how Neo4j integrates with LLMs Using Neo4j with LangChain — Integrate1 mention

Zero to Production Hands-On Workshop1 mention

  • AgentsAccess your datacan learn more about Text2Cypher and Semantic Search in the [Neo4j & Generative AI Fundamentals1 mention

Related terms

knowledge graph
A graph of entities and the relationships between them, used as a source of facts.18 shared lessons
GraphRAG
Retrieval-augmented generation whose context comes from a knowledge graph, so the model can follow the relationships between facts.11 shared lessons
large language model
A model trained on text to predict the next token, and so to generate language.18 shared lessons
retriever
A component that searches a data source and returns the information relevant to a query. Often used to provide context for a language model.8 shared lessons
text chunk
A piece of a larger document, small enough for a model to process and specific enough to be worth retrieving on its own.9 shared lessons
hallucination
A false statement made confidently by a language model.4 shared lessons
embedding
Information represented as a numerical vector, positioned so that similar information sits close together.11 shared lessons
vector index
A structure over a vector property. The database searches it to find the vectors nearest a given one, rather than comparing every vector stored.6 shared lessons

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