CROssBAR-LLM

This repo is created within the scope of the CROssBARv2 project to convert natural language questions into Cypher query language. We leverage LangChain to construct Large Language Model (LLM) chains for the generation of Cypher queries and the subsequent parsing of the resulting output. Streamlit is employed to create an interactive user interface for this process.

Installation

poetry

First, ensure that you have poetry installed on your system.

poetry --version

If it's not installed, install via pip:

pip install -U poetry

To install the package:

poetry install

To get into the poetry virtual env:

poetry shell

pip

pip install -r requirements.txt

Usage

To use this package, ensure that you have .env file present in the root folder of it. You should use the template below:

OPENAI_API_KEY="sk-************************************************"
GEMINI_API_KEY="AI*****************-**-******-*********"
ANTHROPIC_API_KEY="sk-ant-***-***********************-****"
NVIDIA_API_KEY="nvapi-************************************"
GROQ_API_KEY="gsk_****************************************"
REPLICATE_API_KEY="***************************************"
NEO4J_USER="user"
MY_NEO4J_PASSWORD="password"
NEO4J_DB_NAME="neo4j"
NEO4J_URI="neo4j://localhost:7687"

This repo is currently under development. Therefore, you may encounter some problems while replicating this repo. Feel free to open issue about it.