Core capabilities
- Document ingestion and preparation
- Chunking and indexing
- Authorized retrieval
- Source attribution
- Private knowledge search interfaces
Enterprise RAG and knowledge search platform
ManselIQ
ManselIQ provides source-grounded, authorization-aware knowledge access across internal documents and enterprise knowledge sources.
What it enables
ManselIQ is positioned as an enterprise knowledge intelligence platform that combines document ingestion, chunking, indexing, authorized retrieval, and source-attributed answers.
ManselIQ is adapted to enterprise RAG and knowledge search scenarios based on enterprise data, authorization models, and integration requirements.
Who it is for
Teams that need internal documents, procedures, technical resources, or knowledge bases to become more accessible, traceable, and secure.
Use cases
- Internal policy search
- Technical documentation assistant
- Legal and contract knowledge search
- Customer support knowledge base
- Document-heavy operations
Problem context
When enterprise knowledge is fragmented across repositories, teams reach the right source too late, and generic chat tools do not satisfy authorization or source verification needs.
The flow is simplified and validated at project start based on existing enterprise systems.
- 01Source preparation
- 02Document parsing
- 03Authorized retrieval
- 04Source-attributed response
- 05Quality evaluation
Enterprise scope
- Source attribution
- Role-aware retrieval
- Tenant isolation approach
- API-first design
- Document-level metadata
- Controlled LLM usage
- On-premise / private deployment options
Expected PoC outputs
- Connected sample document set
- Searchable index
- Answer UI or API
- Source attribution test
- Security assumptions report
FAQ
Frequently asked questions
Is ManselIQ a chatbot?
No. The interface can be conversational, but value comes from authorized retrieval and source attribution layers.
Can it run on-premise?
On-premise, private cloud, or hybrid options are evaluated by enterprise constraints.
Can it cite sources?
Source attribution and verifiable context are primary design goals.
Can it work with existing repositories?
Connector, export, or controlled synchronization is designed for each source.
How is data security handled?
Authorization, data boundaries, logging, and model-provider assumptions are made explicit before PoC.