Arabic-first · Private · Multimodal RAG
Make every archive answerable.
Ibn al-Nadim AI turns documents, scans, audio, video, and institutional memory into a secure conversational intelligence layer with citations, provenance, and Arabic-native retrieval.
What does this archive say about the 1948 correspondence?
Three letters mention the event directly. The strongest source is Letter 17, page 4, with supporting audio testimony at 00:18:42.
Problem → platform
A serious interface for serious knowledge.
Private archives hold decades of documents, recordings, and institutional memory that no one can search. Ibn al-Nadim AI turns that material into a grounded, conversational knowledge layer — every answer tied to the exact source, page, and timestamp.
Ingest anything
PDFs, scans, books, spreadsheets, Arabic documents, interviews, lectures, and long-form video.
Ground every answer
Responses are linked to documents, pages, timestamps, entities, and confidence signals.
Deploy privately
Designed for local servers, private cloud, Proxmox labs, K3s clusters, and regulated teams.
Architecture
From raw material to cited intelligence.
Every stage is built for evidence. Ingestion preserves provenance, hybrid retrieval surfaces the right passage, and each answer cites the document, page, or timestamp it came from.
Collect
Documents, scans, audio, video, metadata.
Parse
OCR, ASR, layout, timestamps, language detection.
Index
Hybrid search, vector database, entity graph.
Answer
RAG API, chat interface, evidence and citations.
Use cases
Built for teams with complex private knowledge.
Family archives
Letters, images, oral histories, and inheritance documents.
Media libraries
Interview footage, documentaries, podcasts, and transcripts.
Enterprise memory
Policies, contracts, emails, internal documents, and procedures.
Research collections
Multilingual corpora, manuscripts, bibliographies, and notes.
Deployment
Private by design. Practical by default.
Run the full stack on your own hardware or private cloud — no data leaves your environment. Role-based access, category entitlements, and audit-friendly logs keep regulated teams in control.
- On-prem or private cloud installation
- Role-based access and audit-friendly logs
- Arabic and English interfaces
- API-first integration with existing systems
Pilot
Start with one archive. Prove the value fast.
Tell us about one archive you want to make answerable. We'll scope a pilot on your documents, in your environment, with results you can verify.