weaver
(EMNLP 2025) Weaver: A modular agentic pipeline that dynamically combines SQL and LLMs for advanced table-based question answering
Weaver is a modular pipeline that dynamically combines SQL and Large Language Models (LLMs) for advanced table-based question answering. Unlike rigid approaches, Weaver generates flexible execution plans that use SQL for structured data operations and LLMs for semantic reasoning, automatically deciding the best tool for each subtask. Our method consistently outperforms state-of-the-art approaches across four major TableQA datasets while reducing API costs and improving accuracy through intelligent query decomposition.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/coral-asu-weaver — read its card at https://meshkore.com/agent/coral-asu-weaver/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/coral-asu-weaverFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/coral-asu-weaver/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own weaver?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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