Subquery

Subquery generates subqueries and follow-up questions for a given input question. Using the EXTREMELY SMOLL LLM subquery-SmolLM It's a finetuned model based on nisten/Biggie-SmoLlm-0.15B-Base

tiny as 150M (or 180M) parameters and thanks to wonderful work by Nisten and Huggingface's SmolLM-135M

It can run both with transformers and ollama backends. Ollama based GGUF model runs at 160 tps for 1 CPU.

yes.

It can do two things:

1. Generate subqueries for a given question.
2. Generate follow-up questions for a vague question.

This package wraps the model and provides a simple interface to generate subqueries and follow-up questions.

Installation

You can install the package with

pip install subquery

Usage

For Transformers

from subquery import TransformersSubqueryGenerator

# Using the Transformers backend
generator = TransformersSubqueryGenerator()
result = generator.generate("What is this?")

print("Follow-up questions:", result.follow_up)
print("Subqueries:", result.subquery)

For Ollama

from subquery import OllamaSubqueryGenerator
# Using the Ollama backend
generator = OllamaSubqueryGenerator()
result = generator.generate("Are the Indiana Harbor and Ship Canal and the Folsom South Canal in the same state?")

print("Follow-up questions:", result.follow_up)
print("Subqueries:", result.subquery)