The Chipper project is a Python-based AI interface for tinkerers, built using the Ollama and Haystack RAG libraries. It provides an interface for users to interact with their models and test various tasks such as retrieval-augmented generation (RAG). The project aims to provide a flexible and efficient way for developers to integrate AI models into their applications.
The Chipper repository contains several key components:
Key Features:
Here's an example of how you might use the Chipper library in Python:
from chipper import client
# Create a new connection to your Ollama model
model = client.connect("https://your-model-url.com")
# Use RAG to generate text based on query results
query = "What is AI?"
results = model.rag(query)
print(results)
# Test the model for inference purposes
input_text = "This is an example input"
output_text = model.infer(input_text)
print(output_text)
The Chipper project welcomes contributions from developers and researchers. If you're interested in contributing to the project, please follow these steps:
git checkout -b
command.git commit -m
.The Chipper project is licensed under the MIT license. This means that users are free to use and modify the code as they see fit, provided that they give credit to the original authors.
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