KadiAssistant: A conversational AI Agent for information retrieval in Kadi4Mat
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.
- ▪KadiAssistant is integrated into the Kadi research data ecosystem to facilitate efficient information access.
- ▪The tool combines a large language model with a privacy-preserving semantic search to handle sensitive data.
- ▪It aims to lower access barriers for researchers and improve the Findable aspect of FAIR data principles.
arXiv cs.AI files mainly under ai research. We currently carry 1,128 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
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 publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.18850 |
| Publication time | Wed, 20 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-20T04:04:59.484Z |
| Last seen | 2026-05-20T04:04:59.484Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | s2S31Z59hXAT |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.