Little FAQs

Question 1

How does Little ensure my data privacy?

Accepted Answer

Little prioritizes privacy by processing all data locally. It integrates with Ollama for local LLM inference and utilizes a local RAG system, meaning your personal documents and conversations never leave your machine or interact with external cloud services.

Question 2

What are the main requirements to get Little up and running?

Accepted Answer

To run Little, you'll need Python 3.8+, Ollama installed with the `qwen3:1.7b` and `nomic-embed-text` models pulled, and a free OpenWeather API key for real-time weather functionalities.

Question 3

What is Little and what are its core capabilities?

Accepted Answer

Little is a private, local AI assistant designed to run entirely on your machine. It combines open-source LLMs via Ollama with Retrieval-Augmented Generation (RAG) to allow you to interact with your personal PDF documents and access real-time information like weather, time, and calculations.

Question 4

Can Little process my personal documents, and what formats are supported?

Accepted Answer

Yes, Little is equipped with an advanced RAG system specifically for querying and extracting information from your personal PDF documents. Simply place your PDFs in the designated `data` directory for processing.

Question 5

Does Little require an internet connection to function?

Accepted Answer

While an internet connection is needed for initial setup (Ollama model downloads, OpenWeather API key acquisition), Little can largely operate offline for its core RAG and local LLM conversational features once configured. Real-time tools like weather updates do require internet access.

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