# rag-practice

**Repository Path**: scotthui/rag-practice

## Basic Information

- **Project Name**: rag-practice
- **Description**: RAG 实践
- **Primary Language**: Python
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-12-16
- **Last Updated**: 2025-12-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# RAG Practice

## Use uv and conda to manage dependencies

conda create -n py310 python=3.10 -c conda-forge -y

uv init rag-practice --python 3.10
cd rag-practice
uv venv --python <conda-forge-path>/base/envs/py310/bin/python

## Install dependencies

uv add langchain langchain-community langchain-chroma langchain-ollama chromadb pypdf python-dotenv

## Ollama

    - Install Ollama from [official website](https://ollama.ai/download)
    - Run `ollama serve` to start the Ollama server
    - Pull the model you want to use, e.g. `ollama pull qwen3:0.6b`
    - Pull the embedding model you want to use, e.g. `ollama pull quentinz/bge-large-zh-v1.5:latest`