AI Search That Never Leaves Your Device
Enterprise-grade multimodal RAG system. Search across documents, images, code, and audio with complete privacy and transparent citations.
Features
Ingest, index and search documents, images, and audio in one unified semantic system then generate grounded answers with transparent citations.
Multimodal Ingestion
Ingest PDFs, DOCX, images (screenshots, photos) and audio. We extract text via document parsers & OCR, transcribe speech, and normalize content into searchable fragments. This process supports batch uploads, handles noisy inputs like handwritten notes or low-quality scans, and ensures all data is converted into structured, queryable units for seamless integration into the semantic index.
Shared Semantic Index
All modalities are embedded into a unified vector space so text, images and audio transcripts can be retrieved together using semantic similarity. This enables efficient cross-modal retrieval by mapping diverse data types into a common embedding space.
Cross Modal Search
A single natural language query can return relevant document passages, matching screenshots, and transcript snippets enabling richer, context-aware results beyond keyword matches. This unified approach leverages advanced embedding techniques to correlate text, visuals, and audio, reducing search time and improving accuracy for complex queries like 'find meeting notes with diagrams of the new product'.
Offline LLM & Grounded Answers
Generate summaries and answers with an LLM running in offline or private environments. Outputs are grounded with numbered citations that link back to the source files and timestamps.
Privacy & Traceability
Keep sensitive data local, use access controls and encrypted storage, and inspect provenance for every retrieved item to ensure transparency and auditability.
Built for secure, explainable retrieval.
Designed to balance utility and privacy: local/offline LLM options, verifiable citations, and cross‑modal retrieval let teams discover the right evidence quickly while keeping control of their data.
How DataDot Works
A simple, powerful three-step process to unlock insights from all your data.
Ingest
The system takes in various data types like text, images, and audio, processing them into a searchable knowledge base.
Query
Ask complex questions in natural language, and the system intelligently understands the intent across different modalities.
Discover
The system retrieves the most relevant information, synthesizes it, and provides a comprehensive, accurate answer.