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Enterprise IT Support Agentic RAG Copilot With Evals And Safety — AI skill for Claude Code

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n end-to-end Forward Deployed Engineer (FDE) project that turns a notebook-style Agentic RAG workflow into a deployable internal product using LangGraph, FastAPI, Pinecone, OpenAI, Tavily, HTML.

How to install Enterprise IT Support Agentic RAG Copilot With Evals And Safety

This entry records only its repository, not the path inside it, so there is no exact command to give. Open chatkausik/Enterprise-IT-Support-Agentic-RAG-Copilot-with-Evals-and-safety and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Enterprise IT Support Agentic RAG Copilot With Evals And Safety does

n end-to-end **Forward Deployed Engineer (FDE) project** that turns a notebook-style Agentic RAG workflow into a deployable internal product using **LangGraph, FastAPI, Pinecone, OpenAI, Tavily, HTML, CSS, and JavaScript** — with an offline evaluation harness (RAGAS + DeepEval, judged by Claude) and a metrics dashboard on top.

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README

Enterprise IT Support Agentic RAG Copilot

An end-to-end **Forward Deployed Engineer (FDE) project** that turns a notebook-style Agentic RAG workflow into a deployable internal product using **LangGraph, FastAPI, Pinecone, OpenAI, Tavily, HTML, CSS, and JavaScript** — with an offline evaluation harness (RAGAS + DeepEval, judged by Claude) and a metrics dashboard on top.

**Complete documentation:** see the [architecture, demo, safety, and evaluation guide](docs/PROJECT_GUIDE.md) for verified screenshots, Mermaid flow diagrams, hands-on demo scenarios, evaluation methodology, reference results, and operational guidance.


1. Business Problem

Customer

**NovaRetail**, a fictional 3,000-employee retail company.

Problem

The internal IT team maintains many documents: VPN instructions, password rules, MFA policy, software installation rules, laptop troubleshooting guides, and service-desk runbooks.

Employees still create repetitive support tickets because:

  • They do not know where the correct document is.
  • Traditional keyword search returns too many results.
  • A normal chatbot may hallucinate an answer.
  • Internal documents can be incomplete or outdated.
  • Some questions require current vendor information from the public web.

Example

An employee asks:

**“How do I connect to the company VPN from home?”**

The answer exists in the private company KB, so the system should **not search the public internet**.

Another employee asks:

**“What is the latest Microsoft Teams outage guidance?”**

The internal KB may not contain current outage information. The system should recognize weak private evidence, use an external search, grade that evidence, and answer with an external-source warning.

Business Goal

Build a secure IT Support Copilot that:

  1. Searches trusted private knowledge first.
  2. Checks whether retrieved evidence is good enough.
  3. Uses web search only for explicitly public, time-sensitive vendor questions.
  4. Rewrites weak querie