What happens if my search systems get out of sync?

The 'parity' command automatically detects discrepancies between Qdrant and MeiliSearch and restores balance by copying metadata or re-indexing missing chunks.

Does this skill support codebases specifically?

Yes, you can create corpora with the '--type code' flag, which includes specialized features like metadata repair for git-tracked repositories.

Why use dual-indexing instead of a single search system?

Dual-indexing provides the best of both worlds: Qdrant handles semantic, conceptual queries while MeiliSearch ensures precise keyword and exact phrase matching for technical terms or specific identifiers.

Can I use this on a Mac with limited RAM?

Yes, for systems with less than 16GB RAM, you can use the --no-gpu flag to run on the CPU or select smaller models like 'bge' to maintain system stability.

Arc Corpus Manager

Name: Arc Corpus Manager
Author: cwensel

bycwensel

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Database Management

Manages dual-indexed corpora to synchronize semantic and full-text search capabilities using Qdrant and MeiliSearch.

The Arc Corpus skill provides a unified interface for managing hybrid search environments by keeping Qdrant vector collections and MeiliSearch full-text indices in perfect sync. It automates complex tasks such as multi-model embedding generation, directory synchronization, and system parity checks, ensuring that AI-driven applications benefit from both conceptual understanding and exact keyword matching. This tool is essential for developers building robust Retrieval-Augmented Generation (RAG) systems that require high-performance search infrastructure with built-in GPU acceleration and metadata management.

Key Features

01Dual-indexing synchronization between Qdrant and MeiliSearch

02Multi-model support for specialized embeddings (PDF, code, markdown)

03Automated parity checking and data restoration between search systems

04Deep metadata repair and chunk count verification

053 GitHub stars

06GPU-accelerated syncing with stable CPU-only fallback for Apple Silicon

Use Cases

01Syncing and maintaining large-scale documentation or codebase corpora

02Building hybrid RAG systems that require both semantic and keyword search accuracy

03Managing consistency across distributed vector and full-text search databases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add cwensel/arcaneum arc-corpus

For use in Claude.ai and ChatGPT

Download Skill