Bear Notes

About

Bear Notes bridges the gap between your personal knowledge base in Bear and AI assistants using the Model Context Protocol (MCP). It allows AI systems to intelligently search and retrieve your notes by employing semantic search and Retrieval-Augmented Generation (RAG) techniques. This enables AI assistants to understand the meaning behind your notes, facilitating more relevant and context-aware responses.

Key Features

• RAG Support: Allows AI assistants to pull in relevant context from your notes.
• Local Processing: Runs entirely on your machine, ensuring data privacy.
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• Semantic Search: Finds notes based on meaning, not just keywords.
• Graceful Fallbacks: Reverts to traditional search if semantic search is unavailable.
• Uses Xenova implementation of transformers.js with the all-MiniLM-L6-v2 model.

Use Cases

• Enabling AI assistants to access and understand notes stored in Bear.
• Providing context to AI models, enhancing the relevance of their responses.
• Building a local, private knowledge base for AI interactions.