Graph RAG – Streamlit chatbot to generate knowledge graph using Neo4J

Graph RAG – Streamlit chatbot to generate knowledge graph using Neo4J

Publication date: Aug 18, 2024

In next article, I will show how to retrieve information both from vector and the graph using Hybrid approach. Hybrid search article in next article link. It covers the setup of Neo4j Desktop, the creation of a knowledge graph by uploading documents, and the visualization of this graph within the chatbot. Run Streamlit app, navigate to RAG with Neo4j, upload the document. Knowledge graph in ChatbotThe entire concept and code walkthrough with python code is available in below video guidance. This article show on how to create the graph. There are multiple improvement process implemented or in process. Simple vector-based RAG might not always provide optimal results, so various efforts are underway to improve accuracy through the RAG process. https://neo4j. com/download/ Install python and vs code.

Concepts Keywords
Neo4j Chatbot
Password Code
Python Def
Simple Document
Edges
Graph
Neo4j
Network
Nodes
Process
Rag
St
Streamlit
Title
True

Semantics

Type Source Name
gene GENE UPF1
gene GENE STATH
gene GENE ELK3
gene GENE SLC6A2
gene GENE EPHB1
gene GENE APP
gene GENE TBXT
gene GENE URI1
gene GENE GDF15
gene GENE PDF
gene GENE PFDN1
gene GENE UTP25
drug DRUGBANK Coenzyme M
gene GENE AURKA
disease MESH aura
gene GENE LITAF
gene GENE LARGE1
gene GENE CHAT
gene GENE SH2D3C

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