arXiv (All)
open access
SearchWiki: Learning to Build and Navigate Knowledge Wikis for Active Information Seeking
Flat retrieval-augmented generation treats a corpus as a bag of chunks, discarding document hierarchy and cross document structure. We introduce SearchWiki, a harness framework that synthesizes a corpus into a hierarchical, typed, navigable wiki and trains an agent, WikiResearcher-9B, to retrieve in
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- SearchWiki: Learning to Build and Navigate Knowledge Wikis for Active Information Seeking#797777
- A Storage-Retrieval Gap in Parametric Knowledge Graph Memory#984235
- SeedER: Seed-and-Expand Retrieval from Knowledge Graphs#222589
- Peak-Then-Collapse and the Four Interface Channels of Knowledge-Graph Tool Use#798912
- Peak-Then-Collapse and the Four Interface Channels of Knowledge-Graph Tool Use#797498
Record · ID 799200
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive