# Examples and demos

## Get inspired by GenAI with Memgraph

Welcome to the inspiration hub for **GraphRAG** and **Generative AI
(GenAI)** applications powered by Memgraph. Explore demos, real-world examples,
and community projects showcasing how Memgraph brings advanced graph-based
knowledge retrieval to life. Whether you're building LLM applications, tackling
real-time analytics, or creating knowledge-driven solutions, these examples will
help spark your next project.

**How to Use This Page**

1. [Explore demos](#featured-demos) - Try out fully functional examples built by the Memgraph
   Developer Experience team.
2. [Learn from real-world use cases](#graphrag-examples-with-memgraph) - See how Memgraph users are solving
   complex challenges with GraphRAG and GenAI.
3. [Build your own](#how-to-resources) - Use the provided GitHub links to start experimenting with
   Memgraph and customize your solutions and let us know about it in our
   [Memgraph Discord community](https://discord.com/invite/memgraph).

## Featured demos
### Agentic GraphRAG with Memgraph
An agentic GraphRAG application that automatically performs GraphRAG operations
to answer questions. The application determines the best retrieval and reasoning
strategy based on the query, making it completely dataset-agnostic. It
automatically performs operations like vector search, deep path traversals,
community detection and PageRank.

- [Try out the demo on GitHub](https://github.com/memgraph/ai-demos/tree/main/agentic-graph-rag)

### GraphRAG with Memgraph
Learn how to build a GraphRAG system from scratch on a simple example - start
from the knowledge graph creation and embeddings calculations and hop onto the
implementation of different retrieval strategies.

- [Try out the demo on GitHub](https://github.com/memgraph/ai-demos/blob/main/graph-rag/graphRAG.ipynb)

### GenAI application template with Memgraph and LangChain
A practical demo and template to kickstart building GenAI applications
with Memgraph, LangChain and GPT or Llama. This demo showcases how to integrate
a knowledge graph with large language models (LLMs) to enhance retrieval and
generate accurate, context-rich responses.

- [Try out the demo on GitHub](https://github.com/memgraph/genai-stack)
- [Read more about the demo](https://memgraph.com/blog/building-gen-ai-applications-with-memgraph-gpt-llama)

## GraphRAG examples with Memgraph

Here’s how others are using Memgraph for GraphRAG and GenAI.
### How Precina Health uses Memgraph and GraphRAG to revolutionize type 2 diabetes care with real-time insights
This example highlights real-time insights from dynamic patient data with
multi-hop reasoning for personalized diabetes care.

![precina](https://memgraph.com/docs/pages/ai-ecosystem/graph-rag/examples-and-demos/precina-graphrag.png)

- [Read the highlights](https://memgraph.com/blog/precina-health-memgraph-graphrag-type-2-diabetes-care)
- [Read the full user story](https://memgraph.com/user-stories/white-paper/memgraph-and-graphrag-transforming-diabetes-management-in-healthcare)

### Using Memgraph for knowledge-driven AutoML in Alzheimer's research at Cedars-Sinai
This example highlights knowledge-driven machine learning models and
retrieval-augmented generation for medical research.

![cedars](https://memgraph.com/docs/pages/ai-ecosystem/graph-rag/examples-and-demos/cedars-sinai.jpg)

- [Read the highlights](https://memgraph.com/blog/knowledge-driven-automl-alzheimers-research-cedars-sinai)
- [Read the full user story](https://memgraph.com/user-stories/white-paper/how-cedars-sinai-uses-memgraph-for-knowledge-driven-machine-learning)

## How-to resources
### How to extract entities and build a knowledge graph with Memgraph and spaCy
Building a knowledge graph from unstructured text becomes seamless with Memgraph
and spaCy. This how-to guide walks through the process of entity extraction,
relationship identification, and graph construction. It’s an excellent starting
point for anyone working with text-heavy datasets and looking to visualize
meaningful connections.

- [Read the full tutorial](https://memgraph.com/blog/extract-entities-build-knowledge-graph-memgraph-spacy)

### How to build a movie similarity search engine with vector search in Memgraph
Learn how to use Memgraph’s vector search capabilities to build a movie
similarity search application. This guide demonstrates how to use graph-based
retrieval for semantic similarity queries, making it perfect for applications
like recommendation systems or content discovery.

- [Read the full tutorial](https://memgraph.com/blog/simplify-data-retrieval-memgraph-vector-search)