V7 Launches Knowledge Hubs to Give AI Agents Deep Understanding of Complex Data Repositories
V7 Team
V7 is launching Knowledge Hubs, a new AI feature that creates a centralized, searchable memory bank from a company's complete set of internal documents. Powered by proprietary technology called Index Knowledge, this feature enables V7 Go to deliver highly accurate AI answers from entire corporate data rooms. It moves far beyond the capabilities of standard Retrieval-Augmented Generation (RAG) tools.
Businesses in document-intensive industries like finance, law, and insurance have faced significant limitations when trying to query internal data with AI. Platforms built on large language models like OpenAI's GPT-4, Anthropic's Claude, or Google's Gemini have made conversational AI accessible, but their knowledge features often fall short in professional settings.
Custom GPTs are restricted by the number of files they can reference. Even specialized LLM models with large context windows can see performance degrade or hit token limits with a single, complex document. This results in answers that are related to the query but lack the specific details required for critical business decisions.
V7 Go's Knowledge Hubs are built to solve this problem.
"We set ourselves two goals for Knowledge Hubs," said Alberto Rizzoli, Co-founder and CEO of V7. "First, if the answer exists anywhere in your internal documents, our AI should find it. It shouldn't just give you its best guess, even if it takes a little longer. Second, our AI Agents must be able to query this knowledge to solve complex tasks with the same up-to-date information as your expert colleagues. We are moving from simple search to true, actionable understanding."
How Knowledge Hubs Work
At the core of this new feature is V7's proprietary Index Knowledge technology. Unlike traditional RAG, which performs a general semantic search, Index Knowledge intelligently scans and embeds files in a way that is optimized for different document types and industries.
At retrieval time, it performs a sophisticated, multi-step analysis. It quickly scans documents to decide where to allocate its context window most effectively. This approach allows it to find critical information that other systems would miss. Importantly, every answer comes with clickable citations that open the source document and visually highlight where the information was extracted. This grounds AI responses in factual information and prevents hallucination. While this deeper analysis may utilize more tokens, V7 views it as an essential tradeoff for achieving the verifiable accuracy required in professional contexts.
Entity-Centric Knowledge Management
Knowledge Hubs also represent a fundamental evolution of the virtual data room, modern CRM, and knowledge management system. It uses AI agents to create self-populating, entity-centric wikis. When information about a person, company, asset, or product is added from any connected source—whether a document, a meeting transcript from Gong, or files in SharePoint—the Hub automatically syncs and updates the records for all relevant entities.
For example, a detail mentioned in a Gong call with venture capital firm Air Street Capital about a potential partnership with ACME Inc. will automatically populate the latest updates in both the "Air Street Capital" and "ACME Inc." entity files within the Knowledge Hub. This creates an interconnected knowledge base that eliminates information silos and manual data entry.
Applications in Complex Business Processes
This functionality is particularly powerful for complex tasks such as automated M&A due diligence. Teams can create a Knowledge Hub from a virtual data room containing hundreds of diverse files. They can then ask detailed questions, and V7's AI Concierge will query the entire Hub to provide synthesized answers with clickable citations. These citations open the source document and highlight the exact section where the information was extracted, preventing hallucination and enabling easy verification. The system can even deploy specialist agents for more complex tasks, like evaluating financial models found within the data room.
These Knowledge Hubs also serve as long-term memory for specialized AI Agents. An agent tasked with processing tax claims can be connected to a "Tax Claims Hub" containing all of the firm's internal guidelines, jurisdiction rules, and claims processing documentation. This ensures every task is executed with complete, up-to-date context.
Availability and Integration
V7 Knowledge Hubs are now available to selected V7 Go customers, with general release to all users coming within a few weeks. The platform offers direct integrations with Microsoft SharePoint, Google Drive, and other essential business systems. This allows teams to build and deploy their corporate knowledge base efficiently.
To learn more about this functionality and determine whether it is suitable for automating your business processes, book a demo and discuss your specific use cases.
