datadrivenconstruction/OpenConstructionEstimate-DDC-CWICR — Open multilingual construction cost database for AI Agents - 55K+ work items, 27K+ resources, 30 reg…

Description and use

OpenConstructionEstimate‑DDC‑CWICR is an open, multilingual construction‑cost database designed for AI agents, containing over 55 000 work items, 27 000+ resource entries, and cost data for 30 geographic regions. The dataset is indexed in a Qdrant vector store, enabling fast semantic search and easy integration into orchestration, AI/ML, and data‑driven workflows. It provides a ready‑to‑use knowledge base for cost estimation, budgeting, and analytics in construction projects worldwide.

Problem

datadrivenconstruction/OpenConstructionEstimate-DDC-CWICR helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

Open multilingual construction cost database for AI Agents - 55K+ work items, 27K+ resources, 30 regions. Semantic search via Qdrant vector DB

Source