Unverified50% confidenceSolutionExact time
Storing the dataset ID mapping table, schema summaries, and business metric definitions in LangGraph custom state fields keeps metadata fully available after dozens of conversation turns without being lost due to history window shrinkage.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/29/2026
First Seen
Valid until: 12/28/2026
Sources
Related Entities
Related Claims
UnverifiedData that is large in volume, requires long-term retention, or needs to be reused across sessions (such as artifact files, complete tool call logs, and large datasets) is suitable for external persistent storage, with the graph state holding only path and version ID pointers to them.72% similarUnverified模型标识信息一般作为元数据存储在后端数据库中，通过API调用传递到前端渲染69% similarUnverifiedTools such as Airtable and Notion Database map underlying database concepts to spreadsheet-style visual interfaces.68% similarUnverified智能体数据管线的核心思想是把轨迹当作精心设计的数据资产，而非事后留存的调试日志68% similarUnverifiedA data dictionary can be maintained in the form of a shared spreadsheet, a Notion/Confluence page, or professional data catalog tools such as Atlan or DataHub.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/958081API
curl https://kongchang.com/api/v1/knowledge/claims/958081MCP
get_claim(id=958081)