FAQ
Knowledge Hub About ContextClue
Find answers to the most common questions or contact our team to learn more about ContextClue functions and deployment
Technology Stack
What technology is ContextClue based on?
ContextClue is an AI-powered knowledge management platform designed to build and maintain knowledge graphs from complex technical data.
It uses a combination of large language models (LLMs), knowledge graphs, and semantic search to parse, classify, and interlink information from diverse data sources.
ContextClue is based on model plug and play, which means it can use any available technology or LLM model, based on clients’ specific needs.
What are the minimum technical requirements to use ContextClue?
Technical requirements are determined by your organization’s data volume and user count, functioning much like an enterprise-scale SAP rollout or a private cloud infrastructure.
While a small pilot might run on limited resources to index a specific dataset, an enterprise-wide deployment requires high-performance servers to handle the heavy computational load of “reading” millions of proprietary files.
Does ContextClue understand context across multiple documents?
Yes, ContextClue is designed to understand and preserve context across multiple documents and systems.
It builds a knowledge graph that captures relationships such as part-to-assembly, system hierarchies, and links between documentation and maintenance records.
Also, semantic search allows users to query information by function, behavior, location, or role – not just by keywords.
Does ContextClue support scanned documents and OCR?
Yes, ContextClue can process scanned documents. It applies OCR and text extraction technologies to convert images into searchable and analyzable text. This ensures that legacy documentation and paper-based archives can be incorporated into the knowledge graphs.
Data Requirements
What file types are supported by ContextClue?
ContextClue supports a wide range of technical and business file formats. These include CAD files, PDFs, Excel spreadsheets, planning exports, and more than 20 additional technical formats.
The platform also works with general documents such as text files, reports, and code repositories, enabling broad enterprise adoption.
Is there a maximum number of files or a storage limit in ContextClue?
There is no fixed, universal file or storage limit imposed. Storage capacity depends on the chosen deployment model and underlying infrastructure.
During implementation, storage requirements are defined based on expected data volume and growth projections.
What file types are supported by ContextClue?
ContextClue supports a wide range of technical and business file formats. These include CAD files, PDFs, Excel spreadsheets, planning exports, and more than 20 additional technical formats.
The platform also works with general documents such as text files, reports, and code repositories, enabling broad enterprise adoption.
How often does ContextClue sync data from connected sources?
ContextClue can synchronize data either automatically or through manual refreshes, depending on integration configuration. Automated sync schedules can be set for systems such as ERP or document repositories to ensure up-to-date information. Manual ingestion is also available for ad-hoc updates or controlled data refresh cycles.
Can we limit which systems or datasets ContextClue can access?
Yes, access control is available at ContextClue. The platform integrates with enterprise systems via secure APIs and supports granular, role-based access management. This ensures users and departments only see the data they are authorized to access.
Tool Integration
Does ContextClue run in the cloud, on-premise, or in a hybrid model?
ContextClue supports flexible deployment models to match enterprise security and compliance needs. It can be deployed fully on-premise for organizations that require complete data sovereignty and strict control over sensitive engineering information.
Cloud and hybrid deployments are also available, offering enhanced data residency controls, enterprise-grade security, and role-based access management.
Do I need IT support to start using ContextClue?
Yes, because ContextClue is an enterprise platform (PaaS) rather than a simple plug-and-play SaaS tool.
IT involvement is essential to build secure “bridges” between the platform and your internal document repositories, ensuring that ContextClue can ingest data from your ERP or PLM systems without compromising your security systems.
How long does a basic ContextClue integration typically take?
The timeline from contract signing to launch depends on project scope but typically ranges from several weeks to a few months. A basic integration with a limited number of data sources can be completed relatively quickly. Larger enterprise deployments require more time for integration, configuration, and validation.
Also, by choosing the product option, you can count on faster implementation, because the entire system only needs to be integrated with the existing infrastructure. If you choose specific modules, the implementation time may be longer due to greater platform customization.
What factors influence the integration timeline?
Several factors affect integration time, including the number and diversity of data sources such as CAD, ERP, spreadsheets, and legacy systems. The complexity and fragmentation of existing infrastructure also play a significant role.
Additional considerations include modular versus all-in-one deployment, custom connector development, access control configuration, and AI model tuning.
What does the onboarding and implementation process look like?
The process typically begins with a technical consultation to define scope, use cases, and deployment model.
Next, ContextClue is integrated with existing systems, followed by data ingestion, normalization, and knowledge graph creation.
Access controls are configured, AI-powered search and generation modules are activated, users are trained, and the system enters ongoing support and optimization.
Moreover, the team supports the client after tool integration if it’s needed.
Is implementation support or customer success provided?
Yes, the ContextClue team provides full implementation and advisory support throughout the project. Customers benefit from deep technical and domain expertise team. In addition to the delivery team, a dedicated Senior Account Manager ensures clear communication and alignment with business expectations.
Can we start with a pilot or proof of concept before full rollout?
Yes, ContextClue can be introduced through a pilot or proof of concept tailored to specific business needs.
Thanks to its modular architecture, organizations can start with selected modules such as Ingest or Retrieve instead of deploying the full platform.
This approach allows teams to validate value before scaling and expanding usage across the organization.
Tool Usage
Can ContextClue be used simultaneously by multiple teams or departments?
Yes, ContextClue is designed as an enterprise-grade platform that supports concurrent use across multiple teams and departments. Engineering, maintenance, R&D, plant operations, and IT teams can all work within the same system while accessing different datasets and functionalities.
Moreover, the modular architecture allows departments to adopt only the components relevant to their use cases without deploying the entire platform at once.
What are the typical use cases for ContextClue?
ContextClue is designed to use in manufacturing, industrial engineering, maintenance, and plant management for tasks such as spare-parts planning, maintenance analysis, and digital twin support.
In R&D and engineering, it helps connect CAD data, ERP records, design documentation, and maintenance history into a unified knowledge layer.
Beyond technical domains, it can also support enterprise knowledge management, compliance documentation, legal and audit analysis, report generation, and internal documentation workflows.