Multimodal. Multilingual. Enterprise-class.
Qalam Embed™ powers the next generation of enterprise applications — from search engines to knowledge discovery — with state-of-the-art embeddings optimized for Arabic, Gulf dialects, Hindi, Urdu, and 20+ major languages. Designed for organizations that require accuracy, contextual alignment, and high recall across massive datasets.
Qalam Embed™ is a high-precision embedding model built for multilingual, multimodal, and enterprise-grade retrieval. Designed to deliver accurate semantic understanding across languages, formats, and regulated data environments.
Deep semantic understanding across Arabic (GCC dialects), Hindi and Indian languages, Urdu, French, African languages, and English, enabling true cross-lingual accuracy.
Supports embeddings for text, images, audio, tables, and mixed-format documents, powering RAG, search, and document indexing.
Optimized for knowledge bases, legal documents, medical notes, government records, and financial datasets in regulated environments.
Integrates seamlessly with Qalam Rerank™, Insight Compass™, Elasticsearch, Pinecone, Qdrant, Vespa, Milvus, and Weaviate.
Designed for RAG pipelines, document search, FAQ matching, summarization grounding, and semantic
clustering. Qalam Embed™ understands domain-specific vocabulary across GCC and Bharat industries to
deliver precise semantic retrieval.
Understands industry vocabulary for GCC + Bharat.
Extract semantic meaning from engineering drawings, healthcare images, product photos, security
imagery, and retail catalogues. Enables visual search and multimodal retrieval across enterprise image
datasets.
Convert call center recordings, meetings, interviews, and Arabic or Hindi voice commands into searchable vectors. Supports speech-driven enterprise automation and multilingual audio intelligence.
Understand structured and semi-structured data such as financial tables, revenue sheets, KPI dashboards, and SAP or ERP exports. Ideal for analytics-driven RAG and hybrid data workflows.
Optimized for large documents including PDFs, DOCX files, scanned records, research papers, and legal or
compliance documents. Supports chunking, hierarchical encoding, and long-context retrieval at
enterprise scale.
Qalam Embed™ is available in multiple model variants designed to meet different performance, latency, and scale requirements. From large-scale multilingual retrieval to low-latency edge use cases, each variant is optimized for production-grade enterprise workloads.
Highest Accuracy For Semantic
Search & Multilingual Retrieval.
Best For Large-Scale Enterprise
Apps.
Balanced Performance + Speed.
Ideal For Most Production
Workloads
Low-Latency, Small-Footprint
Model. Perfect For Real-Time Tools
& Edge Devices
Aya Ultra™ is rigorously benchmarked across multilingual
and cross-lingual tasks relevant to GCC, Bharat, and
global enterprise use cases. It consistently outperforms
leading global models in accuracy, reasoning, and
retrieval across diverse languages and formats.
Qalam Embed™ powers high-precision semantic search, retrieval, and similarity workflows across enterprise data. Designed for scalable, multilingual, and multimodal use cases across regulated and data-intensive industries.
Enable fast, accurate search across millions documents in internal knowledge portals. Supports multilingual queries and semantic relevance at scale.
Search FAQs, chat logs, manuals, and tickets across languages. Improves resolution speed and consistency for global support teams.
Provide best-in-class embeddings for Retrieval-Augmented Generation with Qalam Command™ models. Ensures accurate retrieval and grounded generation.
Power similarity scoring and anomaly detection across structured and unstructured datasets. Helps identify suspicious patterns and risks early.
Enable product matching, catalog classification, and visual similarity search. Improves discovery, recommendations, and catalog quality.
Support case similarity, precedent discovery, and multi-document legal analysis. Accelerates review while maintaining accuracy and auditability.
Encode clinical records, medical imaging metadata, and patient cases. Supports retrieval and analysis across healthcare data systems.
Expert consulting and support to connect Qalam AI with your enterprise applications and infrastructure. From productivity suites to core business platforms, we ensure smooth, secure, and scalable AI adoption.
Qalam Embed™ offers flexible, enterprise-grade deployment models with full data sovereignty and security. Run embeddings in the cloud, private infrastructure, or fully offline environments without compromising performance.
