RAG

Boost your business with augmented intelligence. Discover how we apply RAG to solve real-world challenges across different industries.

RAG as a Service

At Octupus, we offer Retrieval-Augmented Generation (RAG) solutions as a service, enabling your AI applications to access up-to-date and relevant information in real time. Without complex configurations, you get accurate and contextual results that improve decision-making and operational efficiency.

What is the Retrieval-augmented generation?

Retrieval-Augmented Generation (RAG) is an advanced technique that combines large-scale language models with information retrieval systems. Unlike traditional models that rely exclusively on pre-trained data, RAG integrates updated information from external or internal databases when generating responses.

This allows:
  • Access to updated knowledge: Incorporation of recent and specific data from your organization.
  • Greater accuracy: Reduction of errors and responses more aligned with reality.
  • Transparency: Possibility of tracing the sources of information used in the responses.

Our RAG Services

At Octupus, we tailor RAG technology to your company's specific needs. Our services include:

  • Custom integration: We connect your existing systems and databases with advanced language models.
  • Development of intelligent assistants: We create chatbots and virtual assistants that provide precise answers based on your internal information.
  • Process optimization: We automate complex tasks that require access to scattered or unstructured information.
  • Specialized consulting: We advise you on the implementation and continuous improvement of RAG solutions in your organization.

Results and metrics

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Less time searching for information
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Reduction in support tickets
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of users rate the experience as excellent

Data security and privacy

  • Data isolation by client.
  • Encrypted storage.
  • Access control and auditing.
  • On-premise or cloud data processing as needed.

Available Integrations

  • Custom APIs.
  • Connection to databases (MySQL, PostgreSQL, MongoDB, etc.).
  • Integration with CRM, ERPs, and other business systems.
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