Ragbits Core
Ragbits Core is a collection of utilities and tools that are used across all Ragbits packages. It includes fundamentals, such as utilities for logging, configuration, prompt creation, classes for comunicating with LLMs, embedders, vector stores, and more.
Installation
pip install ragbits-core
Quick Start
import asyncio
from pydantic import BaseModel
from ragbits.core.prompt import Prompt
from ragbits.core.llms.litellm import LiteLLM
class Dog(BaseModel):
breed: str
age: int
temperament: str
class DogNamePrompt(Prompt[Dog, str]):
system_prompt = """
You are a dog name generator. You come up with funny names for dogs given the dog details.
"""
user_prompt = """
The dog is a {breed} breed, {age} years old, and has a {temperament} temperament.
"""
async def main() -> None:
llm = LiteLLM("gpt-4o")
dog = Dog(breed="Golden Retriever", age=3, temperament="friendly")
prompt = DogNamePrompt(dog)
response = await llm.generate(prompt)
print(response)
if __name__ == "__main__":
asyncio.run(main())
Documentation
2 maintainers
Metadata
2 maintainers
Release files for ragbits-core 1.6.2
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| ragbits_core-1.6.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 312.1 kB
Release files / ragbits_core-1.6.2.tar.gz
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| Size | 125.4 kB |
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