Enables Claude Desktop to search and query personal document collections (PDF, Word, Markdown, text) using semantic search and conversational AI with full context preservation across exchanges.
Enables local semantic search over documents and code for Claude Code and Claude Desktop, running entirely offline with local embeddings and vector storage.
Provides semantic code intelligence to help users search, navigate, and analyze entire codebases using plain English. It enables Claude to perform architectural overviews, bug detection, and refactor suggestions through local semantic search and keyword indexing.
Connects Claude to a personal knowledge base with hybrid search over code, documents, and images. Allows the AI assistant to retrieve and answer from your own files during conversations.
Turns Claude Desktop into a personal document question-answering system using local vector search. Index PDF, TXT, and Markdown documents into collections and get answers based strictly on your documents with zero hallucination.