RAG: A Revolution for Businesses

Retrieval Augmented Generation (RAG) enhances AI by combining real-time information retrieval with text generation, ensuring accurate, up-to-date, and context-aware responses. Unlike traditional models, RAG reduces bias and hallucinations by integrating external and specialized data sources before generating content.
Why RAG Is Essential for Businesses

Intelligent Search and Optimization (SINEQUA x ChapsVision) RAG-based solutions are transforming business processes:

Enhanced search accuracy: Smarter information retrieval with graph exploration and query expansion.

Improved productivity: Quick access to key insights for faster, more effective decision-making.

Cost reduction: Automating search processes saves time and minimizes manual research efforts.

The Future of RAG: The Multimodal Revolution and Multi-Agent Architecture

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Multimodal RAG: Expanded Capabilities

The new generation of RAG integrates text, images, and statistics for deeper analysis, enabling:

  • • Comprehensive business intelligence
  • • Advanced scientific and operational analytics
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Multi-Agent Architecture: Smarter AI Collaboration

Thanks to the orchestration of specialized agents, multi-agent RAG refines data retrieval, analysis, and generation for greater accuracy and personalization.

  • • Cross-checking: Resolves contradictions and prioritizes reliable sources.
  • • Dynamic adaptation: AI automatically adjusts to different contexts.

AI Capabilities

Data acquisition & preparation

We empower large organizations to make sense of their data, transforming complexity into clear, fast and reliable decisions.
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Machine Translation

Machine translation uses AI to deliver real-time, reliable communication across languages.
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RAG

ChapsVision’s RAG blends search and generation to deliver precise, contextual, and current answers.
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