gnais 0.1.2

Seach tool powered with AI to access GeneNetwork metadata

GNAIS

Description

GNAIS (GeneNetwork AI Search) is a python package that help digest metadata around GeneNetwork using language models. It allows running natural language queries against RDF data (metadata) converted to text and preprocessed locally.

GNAIS performs a hybrid search (keyword and semantic) through a RAG (Retrieval Augmented Generation) system. The embedding model for semantic is Qwen/Qwen3-Embedding-0.6B (open model).

We implemented GNAIS using DSPy. Switching between LLM providers for the text generation model is as easy as changing a variable :)

Installation

GNAIS is in PyPI. You can install it in your virtual environment using the following commands:

python -m venv .venv
source .venv/bin/activate
pip install gnais

Usage

To use GNAIS, you need to define a few variables in your session or script.

CORPUS_PATH=<YOUR_PATH>
PCORPUS_PATH=<YOUR_PATH>
DB_PATH=<YOUR_PATH>
SEED=<YOUR_VALUE>
MODEL_NAME=<DSPY_COMPLIANT_MODEL_NAME>
API_KEY=<YOUR_API_KEY_IF_REQUIRED>
QUERY=<YOUR_QUERY>

Once defined, you can run your search with:

from gnais.search import search
search(QUERY)