fleet-doc-rag
CommunityIngest and search domain-aware documents with a hybrid RAG service.
Software Engineering#domain-aware#document retrieval#hybrid RAG#chat app integration#domain embeddings
Authormarvelousempire
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a domain-aware document-RAG service that integrates with chat apps, allowing for efficient retrieval and ranking of documents without the need to integrate document ingestion into the chat app itself.
Core Features & Use Cases
- Hybrid Retrieval: Combines document brain with chat brain for comprehensive information retrieval.
- Domain-Aware Embeddings: Uses local Ollama embeddings and Qdrant for per-domain collections with metadata.
- Idempotent Commands: Ensures ingestion commands are idempotent, avoiding duplicates.
- Graceful Degradation: Handles failures gracefully, ensuring the app degrades to local-only if needed.
- Use Case: For a chat app looking to add a document brain to its existing RAG capabilities, this skill allows for seamless integration and improved information retrieval.
Quick Start
Use the fleet-doc-rag skill to search for documents related to "financial" domain using the query "financing strategy".
Dependency Matrix
Required Modules
fastapiqdrantollama
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: fleet-doc-rag Download link: https://github.com/marvelousempire/ai-skills-library/archive/main.zip#fleet-doc-rag Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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