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rag-service

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Tenant-ready RAG for instant company knowledge.

Software Engineering#rag#LLM#FAISS#vector-index#Hungarian#voice-assistant
Authorpapdawin
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Enable tenant-aware retrieval-augmented generation for a Hungarian voice assistant, delivering accurate, context-driven answers from company documents.

Core Features & Use Cases

  • Contextual Retrieval: Loads a per-tenant FAISS index and retrieves relevant documents to answer questions in real time.
  • Context Formatting: Formats retrieved snippets into a compact context window for the LLM.
  • Use Case: A customer asks for store hours for Tenant X; the system returns precise hours and contact information from tenant documents.

Quick Start

Start the rag-service, load the tenant index, and query with a sample prompt like "What are the opening hours for Tenant X today?"

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: rag-service
Download link: https://github.com/papdawin/customer-service-assistant/archive/main.zip#rag-service

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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