What Mansel provides
- Document ingestion, chunking, and indexing approach
- Authorized retrieval and source-attributed answer flows
- Joint evaluation of vector database and classical search components
Solution
RAG & Knowledge Search
Context-aware search and answer flows across private documents, data, and knowledge sources.
Problem
Enterprise knowledge is often distributed across documents, file systems, ECM structures, and application data. Weak search experiences slow access to the right source and create decisions with incomplete context.
What Mansel provides
RAG approaches can create secure search experiences across internal documents, knowledge bases, and operational data sources. The goal is source traceability and controlled access to knowledge.
Typical use cases
- Policy and procedure search
- Technical document querying
- Contract and regulation knowledge access
- Customer service knowledge bases
Architecture and capabilities
- Chunking strategies
- Embedding and vector search
- Source attribution
- Role-based knowledge access
Enterprise discussion
Discuss your AI, document intelligence, or data infrastructure needs
Mansel works on practical solution approaches that consider real data, security, and integration constraints from the first phase.