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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 Knowledge Graph

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