Outcomes
Help people find and apply internal knowledge faster while retaining source visibility and access controls.
Capabilities
- Content and permission discovery
- Indexing, chunking, retrieval, and reranking
- Citation UX and answer evaluation
- Freshness, deletion, and observability pipelines
Delivery approach
We build an evaluation set from real questions before tuning retrieval. Architecture is measured against relevance, completeness, latency, and operating cost.
Frequently asked questions
Do we need a vector database?
Not always. Keyword, relational, graph, and vector retrieval can be combined according to the content and query patterns.