DaDaR
Sovereign multimodal RAG & LLM platform
DaDaR is the private AI foundation of the DanYar ecosystem: a complete, self-hosted RAG and LLM platform that turns your organization's own documents, data, images, audio and video into a trusted knowledge layer. It runs inside your perimeter, keeps private data private and answers with citations you can check. Every assistant, agent and AI product you build on it inherits the same security, quality controls and freedom to choose your models.
Core pillars
Sovereign by design
Self-hosted on your servers or private cloud. Your data and models stay under your control.
Truly multimodal
Text, PDFs and scans, tables, images, audio and video, all searchable together.
Grounded & governed
Permission-aware retrieval, answers with citations and a full audit trail.
Everything a native RAG needs
Multimodal ingestion
Connectors for files, databases, websites and APIs, with OCR, layout and table parsing, speech-to-text and image understanding.
Hybrid retrieval
Semantic vector search plus keyword search, metadata filters and re-ranking, for the right passage every time.
Answers with citations
Every response links back to its sources, so users can verify and trust what they read.
Model freedom
Run open-weight LLMs, embedding, vision and speech models on your own hardware. Swap models without rebuilding.
Permission-aware security
SSO and RBAC, document-level access, PII masking and a complete query log.
Agents & tools
Function calling and workflows let assistants act, not just answer, under your guardrails.
Evaluation & LLMOps
Evaluation sets, user feedback, tracing, cost and latency monitoring, and versioning of prompts, models and data.
APIs & SDK
Build your own apps on DaDaR, or power DaneshMand, Diba, Delina and Danino's AI layer.
Product schematic
How it works
Ingest & understand
Parse documents, tables, images, audio and video into clean, enriched chunks with metadata.
Index
Store multimodal embeddings, keyword indexes and access-control metadata side by side.
Retrieve & reason
Rewrite queries, run hybrid search, re-rank and filter by permissions before generation.
Generate & improve
Self-hosted LLMs answer with citations. Evaluation and feedback keep improving quality.
Use cases
- Knowledge assistant for support, compliance and operations teams
- Client-facing answers through DaneshMand live chat
- Research and market-document Q&A for dealers and analysts
- Private trading knowledge base for Diba
Who it is for
- Organizations whose data and models must stay under their own control
- Support, compliance and operations teams
- Brokerages, dealers and analysts
Talk to us about DaDaR
Our experts are ready to answer your questions about DaDaR.