Implementing RAG with Knowledge Graph, Neo4j, VectorDB, GPT Large Language Model, and RAPTOR. (p2.2)

With over a decade of experience in the field, I bring you the latest insights and developments in conversational AI. This playlist is designed to keep you updated on the state of the art in natural language processing, machine learning, and AI-driven communication technologies.

Download the code and data from my GitHub:

Read more about me or contact me if you need help on LLM or chatbots at

⌚️Timestamps:
0:00 Openning
0:18 Intro
1:10 Project Management
1:17 Setting Up The Environment
1:36 Data Handling, Modeling, Evaluation
1:55 Driver Function
2:55 Where RAG Fall Short
3:31 My Intuition Behind Knowledge Graph
4:02 Connecting to Neo4j
4:25 Creating The KG | Diffbot
6:03 Creating GraphCypherQ&AChain
9:38 Where Diffbot Hallucinates in Node-Entity Extraction
11:54 Where Diffbot & KG Fall Short
13:41 Don't Hammer Everything
14:12 My Simple Alternative for KG Generation and Schema Design
17:26 Using The New KG to Solve The Previous Issues
18:49 Combining RAG With KG Limitations
20:07 Conclusion