https://github.com/extrawest/hybrid-search-and-graphdb-rag

Neo4j hybrid movie search with Graph database.
https://github.com/extrawest/hybrid-search-and-graphdb-rag

langchain-js neo4j neo4j-database neo4j-driver neo4j-graph nodejs openai

Last synced: about 20 hours ago
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Neo4j hybrid movie search with Graph database.

• Host: GitHub
• URL: https://github.com/extrawest/hybrid-search-and-graphdb-rag
• Owner: extrawest
• License: bsd-3-clause
• Created: 2024-12-19T11:05:03.000Z (8 days ago)
• Default Branch: main
• Last Pushed: 2024-12-19T11:40:34.000Z (8 days ago)
• Last Synced: 2024-12-19T12:32:47.491Z (8 days ago)
• Topics: langchain-js, neo4j, neo4j-database, neo4j-driver, neo4j-graph, nodejs, openai
• Language: JavaScript
• Homepage:
• Size: 27.3 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Langchain Neo4j Graph RAG movie search

[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)]()

[![Maintaner](https://img.shields.io/static/v1?label=Oleksandr%20Samoilenko&message=Maintainer&color=red)](mailto:[email protected])

[![Ask Me Anything !](https://img.shields.io/badge/Ask%20me-anything-1abc9c.svg)]()

![GitHub license](https://img.shields.io/github/license/Naereen/StrapDown.js.svg)

![GitHub release](https://img.shields.io/badge/release-v1.0.0-blue)

## PROJECT INFO

**A cutting-edge movie database application powered by AI, developed using Node.js, and Neo4j. The application leverages LangChain4j to support natural language queries, enabling users to receive personalized recommendations, explore interactive graph visualizations, and dynamically navigate data. With an intuitive interface, users can easily discover movies, actors, genres, and directors. Designed with scalable architecture and strong security, the platform offers a seamless, engaging, and highly personalized movie discovery experience.**

## Features

- Neo4j database

- OpenAI gpt-3.5-turbo

- LangChain

## Preview

1. Query example:

```bash

MATCH p=()-[:IN_GENRE]->() RETURN p LIMIT 25;

```

![visualisation](https://github.com/user-attachments/assets/ff43f358-f520-47aa-b67a-dff2032e7948)

2. Demo

   

https://github.com/user-attachments/assets/9a5deb13-f4cf-4f25-a8d0-aac8419d4752

## Installing:

**1. Clone this repo to your folder:**

```

git clone https://gitlab.extrawest.com/i-training/flutter/hybrid-search-and-graphdb-rag

```

**2. Change current directory to the cloned folder:**

```

cd hybrid-search-and-graphdb-rag

```

**3. Install dependencies:**

```

npm install

```

**4. add .env file:**

In the root of the project file create .env file and add the following variables:**

```

NEO4J_URI = "YOUR_NEO4J_DATABASE_URI"

NEO4J_USER = 'YOUR_NEO4J_DATABASE_NAME' //usaualy neo4j

NEO4J_PASSWORD = "YOUR_NEO4J_DATABASE_PASSWORD" 

OPENAI_API_KEY = "YOUR_OPENAI_API_KEY" 

```

**3. Upload Dataset to Neo4j:**

run `upload_graphs.js` file in the root of the project. The data will be uploaded to Neo4j

**4. Search movies:**

To start server, just run `node index.js`.

Now you can use the app

Created by Oleksandr Samoilenko

[Extrawest.com](https://www.extrawest.com), 2024