Enhance Network Graph Software with LLM
Budget: $30 – $250 SGD
I'm looking for a software developer to modify my existing network graph visualisation software. The goal is to integrate a Large Language Model (LLM) interface that supports natural language queries.
Key requirements:
- Modify existing software to incorporate LLM interface.
- Implement a natural language search functionality.
- Focus on enabling the interface to respond to typed queries.
System architecture:
The svelte web framework for the user interface
FastAPI for the backend server
NEO4J DB database for graph data storage
Flask model app for GNN model for analysis of knowledge graph
Uses Docker to run the software.
Software is PRE BUILT, the LLM interface needs to be added to that it can be used to search rather than the current drop down menu.
Ideal skills and experience for the job include:
- Proficiency in software development and modification.
- Prior experience with LLM integration into software.
- Familiarity with network graph visualisation software.
Key requirements:
- Modify existing software to incorporate LLM interface.
- Implement a natural language search functionality.
- Focus on enabling the interface to respond to typed queries.
System architecture:
The svelte web framework for the user interface
FastAPI for the backend server
NEO4J DB database for graph data storage
Flask model app for GNN model for analysis of knowledge graph
Uses Docker to run the software.
Software is PRE BUILT, the LLM interface needs to be added to that it can be used to search rather than the current drop down menu.
Ideal skills and experience for the job include:
- Proficiency in software development and modification.
- Prior experience with LLM integration into software.
- Familiarity with network graph visualisation software.