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.
Solution approach
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
Related products
Mansel focuses supporting this solution area
FAQ
Questions to clarify at the start
What is the first step?
Technical discovery begins with representative data, user groups, security boundaries, and measurable success criteria.
Is a PoC a production system?
No. A PoC tests critical assumptions in a bounded scope; pilot and production also require operations, security, capacity, and maintenance planning.
Next step
Let's assess your use case and existing systems.
Share your document types, knowledge sources, security boundaries and target outcome. We will identify the most appropriate starting scope together.