MSF-Agents

LLM + Agents + Langchain + MSF API + Neo4J KB + Streamlit - A hobby project with the learning of LLM Agents with a Knowledge graph.

• Neo4J Agent and query in LLM more examples Neo4j
• Requires a Marvel Strike Force Web account to authenticate
• A Neo4J Knowledge graph connection to store the data.

Installation

Requires python >= 3.11, Neo4J credentials, OpenAI API key and MSF account.

• Install libraries via pip install -r requirements.txt
• Then add the .env variable as in .env.example
• A client ID for your own app at MSF
• X-API-KEY available from the MSF Dev Portal

Usage

• Run streamlit run app.py
• Authenticate first time and paste the redirected URL on the small text input
• Once data loading completed, start querying!

KG Visualization

A sample visualization of the current Knowledge graph with the fetched data

TODO:

• RAG on descriptive data
• More guided usecases on streamlit
• Integrate other Cypher queries into tools
• Extended API search
• web crawl (optional) -> future feature
• Simulate gamev -> future feature