arc
By cwensel
Semantic (vector) and full-text (keyword) search across indexed corpora via the arc CLI. Dual-indexes PDFs, markdown, and source code into Qdrant + MeiliSearch with AST-aware chunking, frontmatter, and git metadata. Use full-text for exact symbols/phrases and semantic for conceptual queries — both are first-class. Requires Bash(arc:*) permission.
npx claudepluginhub cwensel/arcaneum --plugin arcComponent Overview
Component Details
Commands (10)
Manage Qdrant collections (semantic search only)
Configuration and cache management
Manage container services (Qdrant, MeiliSearch)
Manage dual-index corpora (recommended)
Check that all Arcaneum prerequisites are met and the system is ready for use.
Index content into collections (semantic search only)
Manage MeiliSearch full-text indexes (full-text search only)
Manage embedding models
Search across collections
Store agent-generated content for long-term memory
Skills (5)
Qdrant collection management for semantic search. Use when user mentions managing collections, creating collection, listing collections, verifying collection integrity, exporting or importing collections, or viewing indexed items in Qdrant.
Docker container management for Qdrant and MeiliSearch services. Use when user mentions starting services, stopping services, checking container status, viewing logs, restarting containers, or resetting database services.
Dual-index corpus management for combined semantic and full-text search. Use when user mentions corpus, dual indexing, syncing content to both Qdrant and MeiliSearch, checking parity between systems, deleting corpora, or managing content that needs both search types.
MeiliSearch index management for full-text search. Use when user mentions managing indexes, creating index, listing indexes, verifying index health, exporting or importing indexes, or viewing indexed items in MeiliSearch.
Search indexed corpora using semantic (vector) OR full-text (keyword) search via the arc CLI. Use when the user asks to search, find, look up, or query a corpus, collection, knowledge base, codebase, docs, PDFs, or markdown. Covers both conceptual queries and exact-term lookups.
README
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