Query – AI Chatbot For All Your Documents
EnkayTech · Customer Service
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Query is powered by Azure AI services and Large Language
Models (LLMs) to deliver conversational, context-aware answers from enterprise
Show the rest of the publisher’s description (83 more lines)
documents. Using Retrieval-Augmented Generation (RAG), Query retrieves relevant
information from your document repositories and generates accurate, grounded
responses in natural language.
How Query Works
Query combines the power of:
- Large
Language Models (LLMs)
- Natural
Language Processing (NLP)
- Semantic
Search
- Enterprise
Document Indexing
- Secure
Retrieval-Augmented Generation (RAG)
The solution scans and indexes enterprise documents,
understands the contextual meaning of content, and retrieves the most relevant
information when users ask questions.
Unlike traditional keyword-based search systems, Query
understands conversational intent and delivers summarized, human-like responses
rather than just lists of documents.
For example:
- “What
is our travel reimbursement policy?”
- “Show
the latest customer onboarding process.”
- “What
were the payment terms mentioned in the vendor agreement?”
- “Summarize
the compliance guidelines for ISO audits.”
Query can instantly retrieve and present accurate responses
from enterprise content repositories.
Think of it as a secure enterprise version of ChatGPT —
tailored specifically for your business knowledge base.
Key Features
Conversational AI for your Enterprise Documents
Ask questions in natural language and receive accurate,
context-aware responses instantly from your business documents (e.g. standard operating
procedures, onboarding documents etc.).
Intelligent Document Discovery
Eliminate manual searching across folders and databases.
Query intelligently identifies relevant information across structured and
unstructured documents.
Contextual & Human-Like Responses
Powered by enterprise-grade LLM technology, Query
understands intent, context, and follow-up questions to deliver meaningful
responses.
Multi-Document Intelligence
Query can analyze and synthesize information from multiple
documents simultaneously, enabling faster decision-making.
Secure Enterprise Access
Access controls and document permissions remain intact,
ensuring users only retrieve information they are authorized to view.
Adaptable Across Platforms
While currently optimized for Enkaytech Docs, Query can
integrate with SharePoint, cloud storage systems, ERP repositories, CRM
platforms, and other enterprise document ecosystems.
Business Benefits
Improve Employee Productivity
Employees spend a significant portion of their workday
searching for information. Query drastically reduces search time by providing
instant answers from enterprise documents.
Accelerate Decision-Making
Executives and operational teams can quickly retrieve
critical business insights without depending on manual research or internal
escalations.
Enhance Knowledge Accessibility
Make organizational knowledge accessible across departments,
including HR, Finance, Operations, Legal, Sales, and Customer Support.
Reduce Operational Bottlenecks
Automate repetitive document queries and minimize dependency
on subject matter experts for routine information retrieval.
Improve Customer & Employee Experience
Provide faster responses to internal and external
stakeholders using accurate information sourced directly from enterprise
systems.
Enable AI-Driven Digital Transformation
Query helps organizations transition from static document
storage to intelligent, AI-powered knowledge management.
Improve Search
Query is able to search for answers and decide which is the
best answer to provide the user, making it a useful search engine for your knowledge
base.
Preview
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Sign inCompliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
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1 listedSources
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3 linksEvidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.



