Klee
K
Klee
Overview :
Klee is a native macOS AI assistant application that focuses on processing data locally to ensure security and privacy. It employs advanced AI technologies, such as RAG (Retrieval-Augmented Generation) and open-source large language models like Llama 3 and Mistral, providing users with efficient and intelligent note-taking, search, and knowledge management features. Key advantages of Klee include local operation for privacy protection, support for team collaboration, free usage, and an optimized macOS experience.
Target Users :
Klee is designed for individual users and small to medium-sized enterprises that need to handle data in a secure local environment. It is particularly well-suited for researchers, students, writers, and anyone requiring privacy protection and efficient knowledge management.
Total Visits: 1.7K
Top Region: US(37.32%)
Website Views : 86.4K
Use Cases
Researchers use Klee to consolidate and analyze local research data.
Students take advantage of Klee's note-taking feature to organize class notes and research materials.
Writers utilize Klee's search functionality to quickly find writing materials and inspiration.
Features
Native macOS app built with Swift and SwiftUI.
Bi-directional linking of notes to transform them into brainstorming and output tools.
Local operation of RAG, ensuring user data is not sent to the cloud for privacy protection.
Utilization of open-source large language models like Llama 3 and Mistral.
Local data processing that enhances large language models with local knowledge bases.
Data preparation and indexing, segmenting documents and encoding them into vector storage.
Retrieval and generation that combines local knowledge bases with user queries to produce responses.
How to Use
Step 1: Download and install the Klee desktop client.
Step 2: Launch the Klee app and create or import local files and knowledge bases.
Step 3: Organize and link information using Klee's note-taking feature.
Step 4: Utilize RAG technology to search and integrate data within the knowledge base.
Step 5: Obtain insights and summaries through conversational interactions with Klee.
Step 6: Set up team-shared knowledge bases and user roles as needed.
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