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Graphrag developer challenge (torino)

Torino
Bullaki
Pubblicato il 8 gennaio
Descrizione

Overview

GraphRAG Developer Challenge – Legal Document Processing (Prototype)

Role & Details

- Role: Senior RAG Systems Developer (Contract / Freelance)
- Compensation: $600 — paid only if you pass
- 95% benchmark
- Timeline: 3–5 days from materials receipt to live demo
- Purpose: Technical evaluation for potential long-term hire
- Frontend / UI: None (backend prototype only)
- Contact:

Objective

We’re seeking an expert in graph-based retrieval (GraphRAG) to build a high-accuracy prototype for legal document reasoning. This is a paid technical test that may lead to a long-term position. The goal is a true GraphRAG system featuring explicit knowledge-graph construction and traversal, multi-hop reasoning, agentic orchestration, and strong focus on retrieval accuracy and explainability.

Materials Provided

- / docs / → Pre-processed Markdown legal documents with metadata
- / sample_questions.json → Example question format
- / sample_answers_rag.json → Example answer format

Download materials :

(Benchmark uses unseen questions.)

Deliverables

Implement two functions in Python 3.12 (Poetry project):

- def ingest(document_paths : List(str)) -> None
- """Ingest Markdown docs and build the knowledge graph."""
- def query(questions : List(str)) -> List(str)
- """Return answers with Vancouver-style citations grounded in retrieved sources."""

Requirements

No UI, no API keys provided. Any stack may be used. query(...) must support parallel execution (~400 questions in ≤60 min) and show a progress indicator. Test thoroughly for correctness and performance before the demo.

Live Demo

In a 60-minute live session you will :

- Receive ~400 unseen questions.
- Run query(...) to produce / answers.json.
- Explain your architecture : how the graph is built, traversed, and used to generate grounded answers.

Only the developer(s) who wrote the code may present.

Evaluation

Passing requires an overall score above 95%, measured by (LLM as a judge): Faithfulness (grounded, no hallucinations), Relevance (retrieval matches intent), Completeness (covers key legal points), and Clarity (structured, legally coherent writing).

Payment & Next Steps

If you pass, you’ll receive $600 USD after verification of reproducibility and hand-over of the repo (codebase, Poetry lock, run instructions, brief tech note). Top performers may be invited to interview for a long-term paid role. Failure to pass or complete within 60 minutes = no payment (you keep your code).

Key Priorities

Parallelization, graph-based reasoning, correctness, and explainability.

Note for Agencies

We will not engage in pre-contract discussions with agencies. If an agency wishes to propose a developer, communication will proceed only after that developer passes the benchmark test. This ensures time efficiency and direct technical validation.

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