Copilot commented on code in PR #290:
URL: 
https://github.com/apache/incubator-hugegraph-ai/pull/290#discussion_r2228496324


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hugegraph-llm/basic-introduction.md:
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@@ -0,0 +1,111 @@
+# Basic Introduction
+
+This file provides guidance to AI coding tools and developers when working 
with code in this repository.
+
+## Project Overview
+
+HugeGraph-LLM is a comprehensive toolkit that bridges graph databases and 
large language models, part of the Apache HugeGraph AI ecosystem. It enables 
seamless integration between HugeGraph and LLMs for building intelligent 
applications with three main capabilities: Knowledge Graph Construction, 
Graph-Enhanced RAG, and Text2Gremlin query generation.
+
+## Tech Stack
+
+- **Language**: Python 3.10+ (UV package manager required)
+- **Framework**: FastAPI + Gradio for web interfaces
+- **Graph Database**: HugeGraph Server 1.3+ (recommended: 1.5+)
+- **LLM Integration**: LiteLLM (supports OpenAI, Ollama, Qianfan, etc.)
+- **Vector Operations**: FAISS, NumPy, Pandas
+- **Key Dependencies**: hugegraph-python-client, LangChain, NLTK, Jieba
+
+## Essential Commands
+
+### Setup and Development
+```bash
+# Install UV package manager (if not installed)
+curl -LsSf https://astral.sh/uv/install.sh | sh
+

Review Comment:
   The command pipes a downloaded script directly to shell without 
verification. Consider adding a note about verifying the script or checking the 
official UV documentation for the most secure installation method.
   ```suggestion
   # Download the installation script
   curl -LsSf -o install.sh https://astral.sh/uv/install.sh
   
   # (Optional) Verify the script's integrity (refer to the official UV 
documentation for checksum/signature)
   # echo "<expected-checksum>  install.sh" | sha256sum --check
   
   # Execute the script
   sh install.sh
   
   # Note: For the most secure and up-to-date installation method, refer to the 
official UV documentation:
   # https://astral.sh/uv/docs
   ```



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