RAG and GenAI
Context-rich answers with hybrid retrieval, filters, and updates that do not wait for a reindex.
The problem
A chatbot that only vector-searches the whole corpus cites the wrong tenant, the old policy, or a keyword it should have respected.
How retrieval closes it
Northline keeps dense and sparse scores, payload filters, and a rerank step in one request. Fresh documents are searchable as soon as they are written.
Three features that matter
- Hybrid retrieval in a single query
- Tenant and source filters during the graph walk
- Late-interaction rerank before the context window