IWIR(Intelligent-Web-Information-Retrieval)

Intelligent Web Information Retrieval Agent AKA IWIR is a high-precision, autonomous web intelligence and retrieval system engineered for Match 4 of the AMD AI League (Lablab AI Academy Challenge). Designed to operate under strict enterprise evaluation contracts, the system autonomously understands natural-language inquiries, navigates web ecosystems, and extracts exact, verifiable answers with zero hallucinations. The architecture is built around a rigorous 5-stage deterministic agent pipeline: 1. Understand: Performs semantic intent classification, entity boundary recognition, and multi-angle query reformulation. 2. Search: Executes keyless, resilient multi-provider search with automatic fallback mechanisms. 3. Fetch & Navigate: Asynchronously crawls target pages via aiohttp with redirect resolution, polite rate-limiting, and deep link-hopping. 4. Extract: Parses complex representations including JSON-LD schema graphs, HTML tables, and semantic content blocks. 5. Verify (Mandatory Contract): Validates candidate answers against source page token boundaries using strict regex validation before emission. If factual grounding cannot be proven, the agent produces an explicit refusal with zero citations, ensuring 100% precision. Optimized for AMD Developer Cloud instances (such as MI300X accelerators) and local developer environments, the solution is packaged in reproducible, production-grade Docker containers based on official AMD ROCm PyTorch distributions without any proprietary CUDA dependencies. It adheres strictly to headless grader contracts, sub-30-second query execution budgets, and full offline fallback validation.