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Graphrag developer challenge (egna)

Egna
Bullaki
Pubblicato il 3 dicembre
Descrizione

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) 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). J-*****-Ljbffr

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