Overview
Find the right document — fast — whether you know exactly what you’re looking for or only have a vague idea. Nobly Insight combines traditional structured search with an AI-powered semantic layer, all governed by the same per-user permissions.Structured search
- Search across hundreds of millions of documents by keyword, date, document type, and combinations of metadata
- Cascading datasets: dependent dropdowns (e.g. customer → contract → policy) for guided searches and entry forms
- Auto-fill keyword sets: type a single value (such as a customer number) and the rest of the related metadata is filled in for you
- External datasets: pull autofill data from external systems (CRM, ERP, master data) without copying it
- Saved searches and personal/shared search folders
AI-powered search
| Capability | What it does |
|---|---|
| AI document search | Ask in natural language (“show me the latest credit decisions for this customer”) and the platform finds the most relevant documents |
| AI-generated search queries | Convert a free-text question into a structured query you can refine and save |
| AI Chat | A conversational interface that lets users ask follow-up questions and dig deeper without re-typing context |
| AI Summary | Generate a concise summary of any document, or of a set of documents, in seconds |
| AI Data Extraction | Extract structured data (e.g. fields from invoices, IDs, or forms) into searchable metadata |
How retrieval works
AI Search combines BM25 keyword ranking with vector-based semantic ranking, optionally enhanced by an LLM that rewrites the query before search and reranks results afterwards. For ranking details, scoring, advanced settings, and tips, see:AI Search introduction
How results are ranked and scored, what each toggle does, and how to get the best results.
LLM reranker and query rewrite
When the LLM rewrite and rerank stages run, what they output, and when to turn them off.
Where to read next
Document management
How documents are captured, stored, edited, and governed before they reach search.
How we use AI
The principles behind every AI feature: open-weight models, Nobly-owned infrastructure, and no third-party AI subprocessors.