Udemy - Introduction to Neo4j with Python, LangChain and OpenAI

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[ DevCourseWeb.com ] Udemy - Introduction to Neo4j with Python, LangChain and OpenAI
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction to the Course.mp4 (29.2 MB)
    • 1.1 ContactMe.001.jpeg (3.3 MB)
    • 1.2 Cypher_Queries.pdf (524.5 KB)
    • 1.3 Neo4j_Cheat_Sheet.pdf (2.2 MB)
    • 2. About Neo4j Cheat Sheet.mp4 (3.9 MB)
    • 3. Into the Cheat Sheet.mp4 (11.0 MB)
    • 4. Introduction to Graph Database.mp4 (9.0 MB)
    • 5. Structure of Cypher language.mp4 (2.5 MB)
    • 6. Introduction to document Cypher Queries document.mp4 (3.0 MB)
    • 7. About the Data.mp4 (16.4 MB)
    • 7.1 Link to CSV Files that We Gonna to Use to Create Neo4j Database.html (0.1 KB)
    • 8. Summary of the Chapter.mp4 (7.0 MB)
    • 9. Quiz #1.html (0.2 KB)
    2. Neo4j create database with Cypher language
    • 1. Introduction to the Chapter.mp4 (12.1 MB)
    • 10. Introduce Schema Procedures.mp4 (7.5 MB)
    • 11. Creating Another Label for Existing Nodes.mp4 (18.6 MB)
    • 12. Visualize Graph.mp4 (10.5 MB)
    • 13. Performance of a Query.mp4 (16.7 MB)
    • 14. Summary of the Chapter.mp4 (5.0 MB)
    • 15. Quiz #2.html (0.2 KB)
    • 2. Create access to AuraDB.mp4 (5.3 MB)
    • 2.1 Aura Graph Database.html (0.1 KB)
    • 3. New DB Instance Accessing CSV Files.mp4 (13.8 MB)
    • 4. Create Constraints.mp4 (4.7 MB)
    • 5. Import Data Create Title Nodes.mp4 (6.6 MB)
    • 6. Import Data Create Skill Nodes.mp4 (5.3 MB)
    • 7. Visualise Graph.mp4 (8.8 MB)
    • 8. Import Data 'skills' properity.mp4 (10.3 MB)
    • 9. Relationship Between Nodes.mp4 (10.8 MB)
    3. Vector Index
    • 1. Introduction to the Chapter.mp4 (10.1 MB)
    • 2. Data Import Import Embeddings.mp4 (11.9 MB)
    • 3. Create Index.mp4 (12.2 MB)
    • 4. Summary of the Chapter.mp4 (2.7 MB)
    4. Neo4j with Python
    • 1. Introduction to the Chapter.mp4 (9.0 MB)
    • 10. Creating Embeddings - Example Script.mp4 (15.6 MB)
    • 11. Vector Index with Python Code.mp4 (28.1 MB)
    • 12. Tidy Up Created Code.mp4 (16.1 MB)
    • 13. Summary.mp4 (7.1 MB)
    • 2. Clone Repository with Initial Code.mp4 (2.7 MB)
    • 2.1 Repository Initial Code for the Project.html (0.1 KB)
    • 3. Credentials & Cypher Queries.mp4 (30.0 MB)
    • 4. Package Requirements.mp4 (2.7 MB)
    • 5. CSV Files.mp4 (1.6 MB)
    • 6. Files main.py & utils.py.mp4 (10.2 MB)
    • 7. Connect Neo4j Database with Python Driver.mp4 (30.4 MB)
    • 8. Update utils.py File.mp4 (7.0 MB)
    • 9. Execute Cypher Queries Using Python Script.mp4 (25.2 MB)
    5. LangChain & Plugging Neo4j into an LLM
    • 1. Introduction to the Chapter.mp4 (7.5 MB)
    • 10. Summary of the Course.mp4 (21.5 MB)
    • 2. Connecting Neo4j Using LangChain.mp4 (16.7 MB)
    • 3. Create Prompt & Chain.mp4 (17.6 MB)
    • 4. Querying the Schema with LLM.mp4 (12.1 MB)
    • 5. Connecting Vector Index.mp4 (15.9 MB)
    • 6. Create Chain to Query Vector Index with LLM.mp4 (17.1 MB)
    • 7. Run Another Question.mp4 (7.5 MB)
    • 8. Summary of the Chapter.mp4 (5.4 MB)
    • 9. Technical Summary.mp4 (3.8 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Introduction to Neo4j with Python, LangChain & OpenAI

https://DevCourseWeb.com

Published 1/2024
Created by Ali Binkowska
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 49 Lectures ( 1h 9m ) | Size: 572 MB

From CSV to Neo4j Database with Vector Index: Plug Your Data into LLM

What you'll learn:
Basics of Neo4j
Basics of Cypher language used to query Neo4j
How to create graph database using CSV files
How to create embeddings
How to create vector index based on embeddings
How to work with Neo4j with Python
How to plug Neo4j into ChatGPT using LangChain

Requirements:
Python Basics



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Udemy - Introduction to Neo4j with Python, LangChain and OpenAI


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571.6 MB
seeders:9
leechers:8
Udemy - Introduction to Neo4j with Python, LangChain and OpenAI


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