AIshe - Wikipedia RAG Question Answering System

AIshe is an AI assistant that can help you get the answers you need using Wikipedia as a knowledge base and local LLM for answer generation.

Overview

This project was created for the Redis AI Workshop on 13 Dec 2025 in Sofia, Bulgaria.

AISHE is a Retrieval-Augmented Generation (RAG) system that:

• Searches Wikipedia for relevant articles based on your questions
• Retrieves and processes article content
• Generates accurate answers using a local LLM (via Ollama)
• Provides source citations for transparency

Prerequisites

nix

Quick Start

Setup

nix develop
# or 
# direnv allow .

Start Ollama Server

Make sure Ollama is running in a separate terminal:

ollama serve
ollama pull llama3.2:3b
ollama ls

Start AIshe Server

In a (second) separate terminal:

nix run .#server -- --port 8111

NOTE: specifying the port is optional (default port is 8000).

Run the CLI Tool

You may run either the Python CLI or TypeScript/JavaScript CLI tool. Both of them do the same - communciate with AIshe server via it's REST API.

In a (third) separate terminal:

NOTE: if you changed the server port in the last step, make sure to:

export AISHE_API_URL="http://localhost:8111"

Python CLI tool

nix run .#aishe

TypeScript/JavaScript CLI tool

nix run .#aishe-js

You'll see a prompt where you can ask questions:

======================================================================
Wikipedia RAG Question Answering System
======================================================================
Ask questions and get answers based on Wikipedia articles.
Type 'quit' or 'exit' to stop.
======================================================================

Your question: What is Python programming language?

Example output:

──────────────────────────────────────────────────────────────────────
ANSWER:
──────────────────────────────────────────────────────────────────────
Python is a high-level, interpreted programming language created by
Guido van Rossum and first released in 1991. It emphasizes code
readability with its use of significant indentation and supports
multiple programming paradigms including procedural, object-oriented,
and functional programming.

──────────────────────────────────────────────────────────────────────
SOURCES:
──────────────────────────────────────────────────────────────────────
[1] Python (programming language)
    https://en.wikipedia.org/wiki/Python_(programming_language)
[2] History of Python
    https://en.wikipedia.org/wiki/History_of_Python
──────────────────────────────────────────────────────────────────────

License

BSD

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. Fair warning: this is mostly vibe coded

Credits

• Augment.AI for Python-native AIshe server and CLI
• Cursor.AI for tab-coded TypeScript client
• chatGPT for fixing Nix / npm problems