Veladocs for AI and RAG

Making your content AI Ready

Veladocs enhances AI by providing a real-time content and metadata source that optimizes the output of large language models (LLMs) with targeted, domain-specific, and attributable information powered via Retrieval-Augmented Generation (RAG). By enforcing versioning and security, Veladocs ensures that sensitive and constantly changing content is accurately and securely managed, enabling LLMs to deliver high-precision responses.

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What is RAG?

Retrieval-Augmented Generation (RAG) is an advanced AI technique that combines retrieval-based and generation-based methods to improve the accuracy and relevance of AI outputs. Veladocs integrates seamlessly with RAG systems, providing secure and real-time access to content and metadata. This integration ensures that LLMs can access and use the most current and context-specific information, enhancing the overall performance of AI applications while honoring content security policies.

Why Use Veladocs for AI and RAG?

AI-Ready Content Management

AI-Ready Repositories
Utilize Veladocs as your main content repository or as a synchronized store with your existing ECM repository, ensuring your content is always prepared for use by your enterprise and AI systems.

Contextual Content for AI
By structuring and organizing data with advanced metadata tagging and version control, Veladocs ensures that only up-to-date, relevant content is passed to the AI, enhancing the efficiency and accuracy of AI-driven processes.

Enhanced Accuracy and Enforced Security

Targeted Information
Veladocs curates and retrieves highly relevant, domain-specific data, ensuring LLMs access the exact information needed for high-accuracy responses. This capability significantly improves the precision and relevance of AI outputs.

Security and Compliance
Veladocs enforces stringent security protocols to protect sensitive data. This includes advanced encryption and access controls, ensuring that information remains secure against unauthorized access.

Real-Time Data Management

Dynamic Content Handling
Veladocs supports changing content, including additions, deletions, and updates, without losing context. This real-time data management ensures that the information used by LLMs is always up to date.

Efficient Data Retrieval
With its cloud-native architecture, Veladocs facilitates quick access to essential information, helping LLMs perform like they are in an ‘openbook’ exam setting, pulling accurate and pertinent data as needed.

BLOG SPOTLIGHTS

What is Retrieval-Augmented Generation (RAG)?

Learn more about how Retrieval-Augmented Generation (RAG) is revolutionizing AI by seamlessly blending real-time information with powerful language models to deliver more accurate, relevant, and cost-effective solutions for businesses.

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Retrieval-Augmented Generation (RAG) Vector vs. Real-Time: Who Cares?

Understand the differences between vector-based and real-time Retrieval-Augmented Generation (RAG) strategies, highlighting their unique strengths and limitations for optimizing AI performance.

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Key Benefits of Veladocs for AI and RAG

Contextual Data Retrieval

Efficient Retrieval
Veladocs enhances AI RAG applications by enabling the efficient retrieval of relevant documents and data. This improves the accuracy and reliability of AI-generated responses.

Version Control
Veladocs enforces document versioning, ensuring that LLMs always access the most recent version of a document. This guarantees that responses are based on the latest information, enhancing the reliability and accuracy of AI outputs.

Domain-Specific Data Curation

Tailored Data Pools
Veladocs allows for the customization of data pools from which LLMs retrieve information. This ensures that data is not only relevant but also perfectly aligned with the unique requirements of specific domains such as finance, legal, medical, or technical fields.

Contextual Augmentation
AI queries are supplemented with context-specific information, enhancing the relevance and usefulness of the responses in various specialized domains.

Scalability and Security

Enterprise-Grade Scalability
Built on a cloud-native platform, Veladocs offers unmatched scalability, allowing your RAG system to grow with your needs. This flexibility ensures that your AI solutions can handle increasing amounts of data and complexity.

Consistent Security
Veladocs ensures that security settings applied in your underlying ECM or content management system are consistently enforced when passing information to the RAG engine. The AI RAG engine only accesses data that each user is authorized to see, maintaining strict access controls and protecting sensitive information.

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SEE IT IN ACTION

Webinar: Making Enterprise Content AI-ready with RAG

Whether you’re in content management, AI development, or a strategic business leader, this session will provide valuable insights into the benefits and applications of RAG within enterprise content.

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How Veladocs Works

Veladocs operates by providing a real-time, secure source of content and metadata for RAG systems. This is achieved through a cloud-native architecture that supports dynamic content management, ensuring that LLMs can access the most current and relevant data.

Key Features of Veladocs

Real-Time Content Management

Supports adding, deleting, and updating content dynamically, maintaining context and ensuring up-to-date information.

Document Versioning

Enforces document versioning to ensure access to the most recent version of documents while maintaining a comprehensive version history.

Efficient Retrieval

Utilizes the Veladocs cloud-native infrastructure to facilitate quick and efficient data retrieval, optimizing AI query processing.

Secure Data Handling

Implements advanced security measures, including encryption and access controls, to protect sensitive information.