reorproject/reorArchived

Features

• AI Knowledge Management - Provides a complete private AI knowledge management system that stores, links, and searches personal notes using local LLMs.
• Local AI Model Runtimes - Downloads and manages LLMs and embedding models through Ollama, keeping all processing on the user's machine.
• Model Lifecycle Managers - Manages the full lifecycle of local LLM and embedding models through Ollama for private AI processing.
• Ollama Model Runners - Downloads, updates, and executes LLMs and embedding models through the Ollama runtime for local AI processing.
• Ollama-Powered Note Tools - Integrates with Ollama to run local LLMs and embedding models for AI-assisted note features like semantic search and question answering.
• Retrieval-Augmented Generation - Retrieves relevant note passages via vector search and feeds them to a local LLM for grounded answer generation.
• Local Embedding Pipelines - Computes and stores vector embeddings entirely on the user's machine using locally-run models for full privacy.
• Local Model Query APIs - Answers questions by sending a natural-language query to a locally-run large language model and returning the generated response.
• Contextual Note Surfacing - Automatically connects notes by comparing their vector embeddings, surfacing related content as you write.
• Question Answering - Retrieves relevant passages from the note corpus and feeds them to a local LLM to answer user queries.
• Local-First Knowledge Bases - Operates as a local-first knowledge base that stores and processes all notes and AI models entirely on the user's device.
• Automatic Note Discovery - Discovers semantic connections between notes as they are created or edited and surfaces those relationships automatically.
• Embedding-Based Note Searches - Searches notes by meaning using local embedding models and vector similarity, enabling natural language queries over the corpus.
• Note-Taking App AI Assistants - Answers questions and surfaces related content using locally-run AI models, keeping all data on-device as a private note assistant.
• Note-Taking App Similarity Searchers - Links notes by comparing their vector embeddings via cosine similarity, surfacing related content without manual tagging.
• Semantic Note Retrieval - Finds notes by meaning using vector similarity and local embedding models, without relying on external cloud services.
• Note Importers - Reads markdown files from a designated directory, allowing migration of notes from other applications.
• Markdown Note Managers - Imports, organizes, and edits markdown notes with automatic semantic linking and full-text search capabilities.
• Markdown Note Importers - Imports existing notes from markdown files, preserving file structure and enabling migration from other applications.

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