Simple Files Vectorstore
Indexes and performs semantic searches across files in local directories using vector embeddings.
About
Enables semantic search across a local file system by watching specified directories, creating vector embeddings of file contents, and providing search and statistics functionalities. It integrates with Model Context Protocol (MCP) and supports configurable chunking, file ignoring, and real-time updates for file changes and deletions.
Key Features
- Real-time file watching and indexing
- Background processing of files
- Semantic search using vector embeddings
- Automatic handling of file changes and deletions
- Configurable chunk size and overlap
- 16 GitHub stars
Use Cases
- Searching code repositories for relevant code snippets
- Finding specific information within a large collection of documents
- Creating a knowledge base with semantic search capabilities
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