What is Customer-Service-AI-Agent-LlamaIndex?
Customer-Service-AI-Agent-LlamaIndex is a coding that This project demonstrates how to build an intelligent customer support agent using LlamaIndex, Groq’s LLaMA 3.3 70B, and HuggingFace Embeddings. The agent can answer questions about orders, return pol. It has a Nerq Trust Score of 63/100 (C). 4 GitHub stars. Published by shaadclt. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 4 stars, 0 downloads — Growing community
- ✅ Transparency: License: MIT — Clear licensing
Trust & Safety Overview
What Customer-Service-AI-Agent-LlamaIndex Does
Customer-Service-AI-Agent-LlamaIndex is a agent in the coding category. This project demonstrates how to build an intelligent customer support agent using LlamaIndex, Groq’s LLaMA 3.3 70B, and HuggingFace Embeddings. The agent can answer questions about orders, return policies, delivery dates, and customer support information by combining function-calling tools and a ve. It is published by shaadclt and is open source. With 4 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Customer-Service-AI-Agent-LlamaIndex
Customer-Service-AI-Agent-LlamaIndex is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | shaadclt |
|---|---|
| Category | coding |
| License | MIT |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=shaadclt-customer-service-ai-agent-llamaindex
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AutoGPT | 65 | 181.9K |
| ollama | 64 | 163.0K |
| langchain | 77 | 127.8K |
| system-prompts-and-models-of-ai-tools | 64 | 115.3K |
| opencode | 78 | 108.1K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.