Vector Search
by Ashwin A Murali
Score: 50/100
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Description

The Vector Search plugin enhances Obsidian with semantic search capabilities using Ollama's embedding API. Unlike traditional keyword-based search, it finds notes with similar meanings by generating vector embeddings for markdown content. The plugin enables users to search for related notes based on selected text, configure similarity thresholds, and process files efficiently with automatic indexing and updates. It includes smart text chunking strategies to optimize search results and supports real-time monitoring of file changes.

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Latest Version
0.2.0
9 days ago
Changelog

Vector Search Plugin v0.2.0

Major Features

  • ⚡ Automatic file change detection

    • Real-time vector updates when files change
    • Smart handling of file renames and deletions
    • Debounced processing to prevent overload

  • 📝 Smart Text Chunking

    • Paragraph-based chunking strategy
    • Character-based chunking with overlap
    • Configurable chunk size and overlap

  • 🔄 Improved Vector Storage

    • Better JSON structure for large datasets
    • Efficient metadata handling
    • Optimized for incremental updates

New Settings

  • chunkingStrategy: Choose between 'paragraph' or 'character' based chunking
  • chunkSize: Configure the size of text chunks (default: 500)
  • chunkOverlap: Set overlap between chunks (default: 100)
  • fileProcessingDebounceTime: Delay for processing file changes (default: 2000ms)

Improvements

  • Removed redundant file tracking in favor of Obsidian API
  • Added error handling for file processing
  • Better progress indicators during operations
  • Optimized vector storage structure

Requirements

  • Obsidian v1.7.7 or higher
  • Ollama with nomic-embed-text model
See all version on GitHub
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