The base code was forked from https://github.com/tomasonjo/NeoGPT-Explorer.
Info on this project can be found here: https://medium.com/neo4j/knowledge-graph-based-chatbot-with-gpt-3-and-neo4j-c4ebbd325ed
An AI chatbot that takes user input and generates a query to return framework data.
User inputs relating to Proof Points, Schemes or Claims Data will prompt GPT-3 to generate a cypher query.
The database will be queried and results returned.
Queries not relating to the framework will prompt GPT-3 for a response directly and is more unpredictable.
Run the following commands to start the services:
-
Create an
.envfile and input your OPENAI API KEY as shown inenv.example -
Start docker services
docker-compose up
- Open localhost:8501 in your browser
What is the vegetarian proof point?
What is the evidence for the vegan proof point?
My company uses renewable energy, which proof points would i be eligible for?
All our products are recyclable, which proof points might I be eligible fo
The app is connected to our neo4j knowledge graph instance currently containing scheme data.
The information extraction pipeline was executed with Diffbot API: See notebooks/Preprocess.ipynb.
Please create an issue if you have any feedback!