WeSearch

KadiAssistant: A conversational AI Agent for information retrieval in Kadi4Mat

·3 min read · 0 reactions · 0 comments · 33 views
KadiAssistant: A conversational AI Agent for information retrieval in Kadi4Mat
TL;DR · WeSearch summary

KadiAssistant is a new AI tool designed to enhance information retrieval within the Kadi4Mat research data ecosystem. It aims to help researchers access and synthesize diverse and sensitive data across various disciplines. By integrating a privacy-preserving semantic search with a self-hosted large language model, KadiAssistant addresses the challenges of data privacy and complex access control.

Key facts
About this source

arXiv cs.AI files mainly under ai research. We currently carry 1,128 of its stories.

Original article
arXiv cs.AI
Read full at arXiv cs.AI →

Story provenance

Source · retrieval · rights · ranking — open for full record
inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherarXiv cs.AI
Canonical URLhttps://arxiv.org/abs/2605.18850
Publication timeWed, 20 May 2026 00:00:00 -0400
Retrieval time2026-05-20T04:04:59.484Z
Last seen2026-05-20T04:04:59.484Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Clusters2S31Z59hXAT
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Computer Science > Information Retrieval arXiv:2605.18850 (cs) [Submitted on 13 May 2026] Title:KadiAssistant: A conversational AI Agent for information retrieval in Kadi4Mat Authors:Adrian Cierpka, Mohammad Shafiqul Islam, Johannes Steinhülb, Eric Dietriche Sesso Domtchoueng, Michael Selzer, Arnd Koeppe View a PDF of the paper titled KadiAssistant: A conversational AI Agent for information retrieval in Kadi4Mat, by Adrian Cierpka and 5 other authors View PDF HTML (experimental) Abstract:We introduce KadiAssistant, a privacy-by-design AI assistant integrated into the Kadi research data ecosystem, enabling researchers to efficiently access, aggregate, and synthesize information from heterogeneous, privacy-sensitive research data.

Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments

More from arXiv cs.AI