tomasonjo/llm-movieagent
Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database
This project helps you build a conversational assistant that understands and interacts with movie-related data stored in a graph database like Neo4j. You can input natural language questions or preferences, and it will output movie information, recommendations, or store your preferences for future interactions. Anyone who wants to create an intelligent movie recommendation system or a movie information chatbot for their users would find this useful.
244 stars. No commits in the last 6 months.
Use this if you need a smart, chat-based interface to query and interact with a movie knowledge graph, providing personalized recommendations and information.
Not ideal if you're looking for a simple movie search engine without the need for conversational AI, personalization, or a graph database backend.
Stars
244
Forks
40
Language
Python
License
MIT
Category
Last pushed
Apr 25, 2024
Commits (30d)
0
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