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EMBED
Embed turns text and images into embeddings to enable semantic retrieval in search systems, RAG architectures, and agentic applications — powering answers, insights, and action across the enterprise.
Trusted by industry leaders and developers worldwide
From fetching relevant content for Q&A to surfacing task-critical context for agents, Embed enables fast, accurate retrieval across your data.
Power AI agents that understand your business — retrieving the right data to support reasoning, tool use, and generation across enterprise domains.
Built to handle complexity and scale, Embed delivers precise retrieval across noisy, multilingual, and multimodal data.
Generate a single embedding for mixed-modality docs containing text, graphs, and tables — simplifying your pipeline and improving accuracy by eliminating data pre-processing.
Embed retrieves relevant content in 100+ languages even when queries and source languages don’t match — returning accurate results without any need to identify language or translate.
Map visual assets and written content into the same embedding space — making charts, dashboards, and design files just as searchable as any block of text.
Embed handles high-context business content with precision — from financial filings to healthcare records — surfacing what’s most relevant, not just what matches the query keywords.
Powered by Command, Compass, Embed, and Rerank, North helps you transform the way you work with secure AI agents, advanced search, and leading generative AI - all in one place.
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Unlock the potential of your data with an intelligent search and discovery system that doesn't compromise on security.
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— Param Jaggi, Founder
Talk to our team to learn how Embed can integrate with your stack, improve retrieval accuracy, and scale to production.
Discover how Embed performs across your languages, formats, and domains
Explore how Embed, Command, and Rerank can work together in RAG and agentic pipelines
Determine the right deployment path for your infrastructure and security needs
Get support integrating Embed and scaling semantic search and retrieval to production
