RAG & Knowledge Systems
We build retrieval and knowledge pipelines that ground AI systems in trusted enterprise context with measurable quality and governance.
Architecture Focus
Ingestion and Document Lifecycle
Design robust ingestion for structured and unstructured data with versioning, deduplication, and refresh policies.
Indexing and Retrieval Quality
Implement chunking, ranking, and hybrid retrieval strategies tuned for precision and recall in domain-specific workloads.
Grounding and Governance
Apply access controls, source attribution, and freshness signals to ensure trustworthy outputs across teams and tenants.
Use Cases
Internal Knowledge Assistants
Build retrieval systems that support engineering, support, and operations teams with high-confidence grounded responses.
Domain-Specific Search and Q&A
Enable precise retrieval over policy, product, and process knowledge with permission-aware serving.