FormKiQ's API-first architecture and direct AWS resource access provide a foundation for document discovery, presentation, and integration that can be extended to meet virtually any operational or compliance requirement — through FormKiQ's standard platform capabilities, structured add-on modules and gateways, integration framework configurations, and professional services engagements for custom requirements.
Document Search
FormKiQ provides reliable, cost-effective document search using Amazon DynamoDB — enabling searches across metadata attributes, dates, document identifiers, and composite key combinations across all editions.
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DynamoDB's performance characteristics support fast metadata retrieval across document collections of any size, with search results available through both the FormKiQ Document API and the Document Console. For most document management programs, metadata search provides the primary retrieval capability — finding documents by classification attributes, status, date ranges, counterparty, or any other metadata attribute defined in your document model.
For more advanced search requirements, Classification Schemas define composite key structures that enable efficient multi-attribute queries — finding all documents that match a combination of attribute values in a single query without a full collection scan. Composite keys are the recommended approach for applications with complex, high-frequency search patterns across large document collections.
Composite Key Search
FormKiQ's composite key architecture enables advanced document retrieval by combining multiple metadata attributes into a single indexed key — allowing complex multi-attribute searches to be executed as efficient DynamoDB key lookups rather than collection scans.
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Composite keys are defined within Classification Schemas and are optimized for the specific attribute combinations your application queries most frequently. A grants program might define a composite key combining program year, funding category, and application status — enabling instant retrieval of all applications matching that combination without scanning the full collection. A contract program might define a composite key combining counterparty identifier, contract type, and jurisdiction — enabling fast retrieval of all contracts for a specific counterparty in a specific jurisdiction.
The composite key structure is built into the document's classification model from the point of ingestion, so search performance remains consistent as the collection grows rather than degrading with volume.
Basic Full-Text Document Search
FormKiQ includes basic full-text search capability across all editions, enabling search across document content and filenames in addition to metadata attributes.
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Full-text search indexes document content extracted through FormKiQ's OCR pipeline — making scanned documents, image-based PDFs, and other non-text-native document formats searchable by content alongside text-native documents. Search coverage can be configured per document type — including or excluding document content from the full-text index where filename and metadata search alone meets the retrieval requirement.
For programs with more demanding full-text search requirements — large repositories, complex relevance tuning, faceted filtering, or high-frequency content search across diverse document types — the Enhanced Full-Text Search module provides a more capable search layer powered by Amazon OpenSearch.
Enhanced Full-Text Search
FormKiQ's Enhanced Full-Text Search module provides a production-grade full-text search capability for organizations where search performance, result quality, and query flexibility are operational requirements rather than conveniences — powered by Amazon OpenSearch and running within your own AWS account.
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Enhanced Full-Text Search operates across document content and metadata simultaneously, supporting complex queries, multi-field filtering, faceted navigation, and result ranking based on document attributes and relevance signals. For organizations with large archives, records programs, or high-frequency retrieval workflows, Enhanced Full-Text Search provides the discovery layer that makes those collections operationally useful at scale.
Search indexes are maintained within your AWS account — document content is never sent to an external search service, and the search infrastructure is subject to the same access controls, encryption, and audit model as the rest of your FormKiQ deployment.
KnowledgeBase — Natural Language Document Discovery
FormKiQ's KnowledgeBase module extends document discovery beyond keyword and metadata search to natural language query — allowing users to ask questions of the document collection and receive answers synthesized from the actual content of their documents, with source attribution linking every answer to the underlying records.
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KnowledgeBase is powered by Amazon Bedrock and runs entirely within your AWS account. Users only receive answers drawn from documents they are authorized to access — FormKiQ's existing access control model applies to KnowledgeBase queries in the same way it applies to every other document operation. Inference region controls allow you to specify which geographic areas are used for model processing, supporting data residency and sovereignty requirements.
KnowledgeBase is particularly valuable for programs with large document collections where the information needed to answer a question may be distributed across multiple documents — policy and procedure programs, research and knowledge management, legal and compliance reference, and case preparation workflows where staff need to find and synthesize relevant information quickly without knowing exactly which document contains it.
The eSignature Integration module has moved. View the eSignature Integration module →
FormKiQ Document Gateways has moved. View Document Gateways →
Integration with Custom Applications using the FormKiQ Document API
FormKiQ provides a complete, documented RESTful API that covers the full platform surface — document management, metadata, search, workflow, classification, access control, and audit — giving any application or service that can make HTTP requests a comprehensive integration point with the FormKiQ platform.
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The FormKiQ Document API is the primary integration point for custom applications, line-of-business systems, portals, and automation pipelines that need to interact with FormKiQ programmatically. API access is available across all editions, with no restrictions on the integration patterns or application types that can be built on top of it.
For organizations building custom applications that require a more flexible query interface, FormKiQ also supports GraphQL integration through AWS AppSync — providing an alternative query model for applications where GraphQL's flexible data fetching patterns are preferred over REST.
For organizations requiring hands-on development support, FormKiQ's Professional Services program provides custom application development and integration support for Advanced and Enterprise customers.
Industry-Specific Integrations
FormKiQ's API-first architecture and Integration Framework module structure support industry-specific integration patterns — connecting FormKiQ to the specialized systems, platforms, and workflows that regulated industries depend on.
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Industry-specific integration requirements vary significantly — a healthcare organization may need integration with electronic health record systems and clinical workflow platforms; a financial services firm may need integration with trading and portfolio management systems; a government agency may need integration with case management, grants administration, and permitting platforms. FormKiQ's Integration Framework modules provide the structured starting point for these integrations, with system-specific adapter logic, metadata mapping, and workflow synchronization implemented by your team or through FormKiQ's Professional Services program.
Where industry-specific integration work produces components with broader applicability across similar organizations, FormKiQ may incorporate them into the standard Integration Framework module catalog — making the investment available to other organizations facing the same integration requirements.
Access to 200+ AWS Services
Because FormKiQ deploys into your own AWS account, every AWS service available in your account is accessible for integration with FormKiQ — connecting document workflows to the full breadth of AWS managed services without requiring vendor involvement or platform modifications.
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This means FormKiQ document workflows can be combined with AWS machine learning services for custom AI pipelines, AWS analytics services for reporting and business intelligence, AWS media services for video and audio document processing, AWS IoT services for document workflows triggered by physical world events, and any other AWS service relevant to your operational requirements.
Common examples of AWS service integrations that extend FormKiQ's capability include Amazon Comprehend for natural language processing of document content, Amazon Rekognition for image analysis within document workflows, Amazon Translate for multilingual document programs, Amazon Kinesis for high-volume document event stream processing, and AWS Step Functions for complex multi-step document workflow orchestration.
For organizations requiring custom AWS service integrations beyond what the standard FormKiQ platform provides, FormKiQ's Professional Services program can design and implement custom integrations built within FormKiQ's module architecture — keeping them maintainable and upgrade-compatible alongside future platform releases.