Document Indexer
Monitors local document folders and maintains a searchable vector index using LanceDB and sentence transformers, enabling natural language queries across personal document collections with automatic file change detection and local LLM-powered summarization.
About
Local document indexing and search MCP server built by yairwein that automatically monitors specified folders for document changes and maintains a semantic search index using LanceDB vector storage and sentence transformers for embeddings. The implementation integrates with Ollama for local LLM-powered document summarization and keyword extraction, supporting multiple file formats including PDF, Word, and text files with real-time file monitoring via watchdog. Designed for users who want to create a searchable knowledge base from their local documents without relying on cloud services, enabling natural language queries across personal document collections while keeping all data processing completely local and private.
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