A knowledge layer for Vietnamese enterprises

Find the right knowledge. Answer with evidence. Act safely.

Knowledge helps leaders and IT, Operations, Product, HR and Support teams reach information in context while respecting source permissions. Every answer stays connected to evidence that people can inspect instead of becoming an opaque conclusion.

  • ACL-aware retrieval
  • Answers with citations
  • Context from source to decision

One workbench, three layers of context

From a query to an answer you can explain

The workbench below uses fictional data to illustrate how Search, Grounded Assistant and Context Graph can work together. It is not a screenshot of a live product environment.

Grounded Assistant

Available
Who needs to approve, and what evidence is required?

The pricing owner confirms the proposal, Finance checks the margin, and Operations records the effective date. The final decision should cite the policy and review minutes.

  • 1Pricing policy §4.2
  • 2Q4 minutes §2
Why this answer

Both sources are inside the access scope, refer to the same “Q4 pricing” entity and are ranked using the trust of controlled documents.

Context Graph

Available
An illustrative relationship between a policy, project, owner and source using fictional data.
  • Pricing policy → governs → Q4 plan
  • Revenue Ops → owns → Pricing policy
  • Approved minutes → confirms → Q4 plan

The problem is not a lack of documents

Knowledge is everywhere, yet decisions still lack a foundation

When information, access and context are separated, teams spend time verifying what should have been clear from the start.

Fragmented data

Files, wikis, project discussions and operating guidance live across systems. Different names make one issue look like unrelated fragments.

Complex access

A result is useful only when the viewer has access at the source. Ignoring ACLs may create a fast answer, but it does not create a safe one.

Ungrounded answers

A summary without citations is hard to inspect, difficult to explain to colleagues and risky to use as the basis for the next action.

Value model

An operating loop from source to governance

Connect → Understand → Find → Act → Govern is an operating model for how Knowledge creates value. It does not claim every step is complete; the public status ledger below states what is actually available.

  1. 01

    Connect

    Bring content and access metadata from supported sources into a controlled flow.

  2. 02

    Understand

    Recognize relationships between documents, entities, owners and decisions.

  3. 03

    Find

    Retrieve by semantics, keywords, trust and ACL rather than a single signal.

  4. 04

    Act

    Bring cited answers into work within the limits of current capabilities.

  5. 05

    Govern

    Observe explanations, application access and technical operations.

Core capabilities

An architecture for trusted answers, not a standalone chat box

Every capability references narrow items in the status ledger. The labels below distinguish what is available, in progress and planned.

01

Permission-aware search

ACL-aware retrieval is available; the cross-source Unified Search experience remains in progress.

  • ACL-aware retrievalAvailable
  • Unified SearchIn progress
02

Grounded Assistant

Answers combine citations, trust and reranking so people can inspect the source and the reason it was prioritized.

  • Grounded chat & citationsAvailable
  • Trust & rerankAvailable
03

Source connections

File upload and Confluence are available. Production Jira, GitLab, Drive and SharePoint connectors are in progress.

  • File uploadAvailable
  • Confluence ingestionAvailable
  • Jira production connectorIn progress
  • GitLab production connectorIn progress
  • Drive production connectorIn progress
  • SharePoint production connectorIn progress
04

Context Graph

The graph connecting sources, entities and decisions is available; people and expertise remain in progress.

  • Context GraphAvailable
  • People & expertiseIn progress
05

Explainability

Hybrid retrieval and explainability show what evidence was found and why a result received priority.

  • Hybrid retrieval — Qdrant/OpenSearchAvailable
  • ExplainabilityAvailable
06

Governance

ACL-aware retrieval and API-key Apps form a control foundation; curation is in progress and DLP/Protect is planned.

  • API-key AppsAvailable
  • CurationIn progress
  • DLP / ProtectPlanned
07

Operations visibility

The operations workbench offers technical visibility for operating the system. This is not a claim about customer or business analytics.

  • Operations workbenchAvailable
08

Agents & actions

Agents/actions, SDK/MCP and browser, Slack and Teams surfaces are planned and are not represented as available.

  • Agents & actionsPlanned
  • SDK / MCPPlanned
  • Browser surfacePlanned
  • Slack surfacePlanned
  • Teams surfacePlanned

How it works

Preserve evidence from connection to answer

Knowledge does not separate an answer from the source and permissions that produced it.

  1. 01

    Connect within the supported scope

    Ingest files or Confluence with source metadata and ACLs. Other production connectors are represented accurately as in progress.

  2. 02

    Understand and rank context

    Combine Qdrant/OpenSearch, graph context, trust and reranking to find evidence using more than one signal.

  3. 03

    Answer for human verification

    Grounded chat presents citations and explanations beside the answer so teams can evaluate it before taking action.

Permission architecture

Source access travels with content through retrieval

The architecture shown here is limited to evidenced ACL metadata, retrieval filtering and explainability. Knowledge does not claim unverified SSO, SCIM, data residency, compliance certification or production hardening.

01

Enterprise sources

Files and Confluence in the current scope

02

Ingestion + source ACL

Preserve source access metadata

03

Hybrid retrieval

Qdrant + OpenSearch

04

ACL filtering

Filter before results return

05

Trust + Context Graph

Rerank by context and trust

06

Grounded answer

Citations + explanation

07

Operations workbench

Technical operations visibility

DLP/Protect is planned and is not represented as an available protection layer.

Transparent status

What is available, in progress and still planned

This ledger is the public claim boundary. It contains no customer metrics, connector count, compliance badge or feature-parity promise without evidence.

Available

Supported by evidence in the current code.

  • File upload
  • Confluence ingestion
  • Hybrid retrieval — Qdrant/OpenSearch
  • ACL-aware retrieval
  • Grounded chat & citations
  • Context Graph
  • Trust & rerank
  • Explainability
  • API-key Apps
  • Operations workbench

In progress

Being completed for production use.

  • Unified Search
  • Jira production connector
  • GitLab production connector
  • Drive production connector
  • SharePoint production connector
  • Curation
  • People & expertise

Planned

A direction, not a commitment of availability.

  • Agents & actions
  • DLP / Protect
  • SDK / MCP
  • Browser surface
  • Slack surface
  • Teams surface

Frequently asked questions

Evaluate Knowledge with the right expectations

Clear answers about scope, permissions, sources and how to start a useful conversation.

Is this the Knowledge application where I can sign in and search?

No. This is a B2B landing page that explains the product direction, architecture and status. It has no account, product backend, live search or customer data.

How does Knowledge handle access permissions?

The evidenced scope preserves source ACL metadata and filters retrieval results by access before returning them. This page does not extend that claim to SSO, SCIM, data residency or compliance certification.

Which sources are currently supported?

File upload and Confluence ingestion are available. Production Jira, GitLab, Drive and SharePoint connectors are in progress, and the page deliberately publishes no aggregate connector count.

Can people verify an answer?

Grounded chat, citations, trust/reranking and explainability are in the available scope. People can inspect referenced sources and why evidence was prioritized within their access boundary.

Can agents take actions in enterprise systems?

Not yet. Agents/actions, SDK/MCP and browser, Slack and Teams surfaces are explicitly planned. The landing page does not simulate real actions or request integration access.

What should our team prepare for a demo?

Choose one concrete decision flow, list the sources involved, describe access groups and define what makes an answer trustworthy. Cloud Solution can then discuss that context against the current product scope.

Start with a real decision

Bring one enterprise knowledge problem to the demo

Choose a workflow that currently consumes time in searching or verification. We can map its sources, permissions, evidence and path to a suitable rollout without using a fake lead-capture form.