AI SummaryA tenant-specific RAG service that enables voice assistants to search and answer questions using company-supplied knowledge (locations, hours, contact info). Useful for SaaS platforms serving multiple companies with shared LLM infrastructure.
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to install the "rag-service" skill in my project. Please run this command in my terminal: # Install skill into the correct directory (11 files) mkdir -p .claude/skills/rag && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/rag/SKILL.md "https://raw.githubusercontent.com/papdawin/customer-service-assistant/master/rag/skill.md" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/rag/Dockerfile "https://raw.githubusercontent.com/papdawin/customer-service-assistant/master/rag/Dockerfile" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/rag/app.py "https://raw.githubusercontent.com/papdawin/customer-service-assistant/master/rag/app.py" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/rag/config.py "https://raw.githubusercontent.com/papdawin/customer-service-assistant/master/rag/config.py" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/rag/embeddings.py "https://raw.githubusercontent.com/papdawin/customer-service-assistant/master/rag/embeddings.py" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/rag/index.py "https://raw.githubusercontent.com/papdawin/customer-service-assistant/master/rag/index.py" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/rag/llm.py "https://raw.githubusercontent.com/papdawin/customer-service-assistant/master/rag/llm.py" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/rag/models.py "https://raw.githubusercontent.com/papdawin/customer-service-assistant/master/rag/models.py" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/rag/requirements.txt "https://raw.githubusercontent.com/papdawin/customer-service-assistant/master/rag/requirements.txt" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/rag/retrieval.py "https://raw.githubusercontent.com/papdawin/customer-service-assistant/master/rag/retrieval.py" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/rag/token_utils.py "https://raw.githubusercontent.com/papdawin/customer-service-assistant/master/rag/token_utils.py" Then restart Claude Code (or reload the window in Cursor) so the skill is picked up.
Description
Tenant-specific RAG service for company knowledge in the voice assistant platform.
Purpose
Enable each company to supply its own information (e.g., location, opening hours, contact and reachability details) so the voice assistant can search and answer accurately. Each tenant has its own index; the LLM is shared across tenants.
Interfaces
• HTTP GET /health for index and model status. • HTTP POST /query for question answering and timing data.
Models
• Embedding model from EMBED_MODEL. • Shared LLM client llm from llm module.
Libraries
• fastapi • stdlib: time, contextlib
Discussion
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