ArunCore / docs /test_set /README.md
Neural Arun
Identity Expansion: Integrated massive ArunCore documentation and master portfolio summary into live Vector DB
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data/test_set/

Golden evaluation queries for ArunCore. This folder will contain a curated set of real questions used to validate retrieval quality and answer accuracy before the agent is deployed.


Purpose

Before writing the ingestion pipeline or the agent layer, a test set must exist. Without it, there is no way to know if the retrieval system is working — whether the right chunks are being returned for the right questions, and whether the LLM is synthesising accurate answers from them.


What Goes Here

A JSON file (eval_set.json) containing 30–50 questions across these categories:

Category Example Questions
Identity "Who are you?" / "What do you do?"
Project-specific "How does your legal RAG system handle exact section lookups?"
Tech stack "What databases have you worked with?"
Decision reasoning "Why did you use ChromaDB?"
Personal background "How did you get into engineering?"
Cross-project "Which projects use Groq?"
Negative (out-of-scope) "What is your salary expectation?" ← should get a graceful fallback

Format (Planned)

[
  {
    "id": "q001",
    "question": "What is your most complex project?",
    "expected_source": "legal_RAG_system/readme.md",
    "expected_topics": ["RAG", "legal documents", "ChromaDB"],
    "category": "project-specific"
  }
]

Current Status

🔲 Not yet built — to be created after the ingestion pipeline is complete.