Generic models often hallucinate or deliver incorrect information when they lack direct access to reliable data.

Documents, processes, and records live across multiple systems. Without structured retrieval, AI cannot use them effectively.

When teams cannot trace the origin of a response, it becomes hard to trust AI in legal, compliance, or client-facing environments.

Without access to real knowledge, assistants give vague or unhelpful replies that fail to support real work.

Delivers reliable answers by retrieving real-time information from your internal documents and databases.

Minimizes AI-generated errors by using verified knowledge instead of relying on model guesswork.

Combines graph and vector retrieval to provide deep understanding of relationships and meaning within your data.

Each response can be traced back to its original source, making it ideal for legal, compliance, and client-facing environments.

Powers high-quality assistants that support real work with relevant, up-to-date, and trustworthy information.

Teams use Retrieval Hub to get fast, accurate answers from internal documents, knowledge bases, and regulatory material.

Build assistants that know your products, policies, or procedures — and respond with precision and relevance.

Use AI to generate summaries that reflect not just the text, but its meaning, relationships, and significance within your organization.

Every answer delivered through the Retrieval Hub can be traced back to its original source, ensuring transparency and compliance.