Retrieval & knowledge search

Answers grounded in the knowledge you own.

Ground answers in accessible source evidence using hybrid search, reranking and permission checks.

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Knowledge that can show its sourceExample workflow
Question

Which maintenance procedure applies?

Approved manual and current service bulletin

A cited response within your access rights

Answer stays within the approved workflow

An implementation example

Finding a passage is only half the problem

The source must be current, relevant and visible to the person asking. Retrieval design brings search quality, document ownership and access control into the same workflow.

Knowledge that can show its source

An Australian advisory firm wants staff to search client documents without exposing another account’s material.

A failure to account for

A removed group membership remains in a cached retrieval result.

Illustrative scenario, not a customer case study.

AI, data & automation

Relevance, permissions and a current source.

Connected knowledge

Index selected document repositories with stable source references and a defined refresh schedule.

Permission checks

Apply the requesting user’s access rules before retrieving passages and before returning an answer.

Citations and relevance

Test retrieved passages against real questions. Link answers to their evidence and identify missing support.

Hybrid retrieval

Combine keyword and vector retrieval where exact terms and semantic similarity answer different needs.

Index lifecycle

Track document versions, removals and indexing failures so stale material does not silently persist.

Tenant separation

Isolate source sets and retrieval context where different customers use the same application.

Prepare the conversation

What needs attention in your system?

Select the areas you want to discuss. Download the list to share with your team.

Index selected document repositories with stable source references and a defined refresh schedule.

Apply the requesting user’s access rules before retrieving passages and before returning an answer.

Test retrieved passages against real questions. Link answers to their evidence and identify missing support.

Combine keyword and vector retrieval where exact terms and semantic similarity answer different needs.

Track document versions, removals and indexing failures so stale material does not silently persist.

Isolate source sets and retrieval context where different customers use the same application.

0 areas selected

A relevant answer still needs permission

The fragile approach

Search everything

Broad indexing can expose restricted passages or surface a superseded procedure.

The intended approach

Retrieve within a trusted collection

Filter by identity and document status before answering, then link every material claim to a stable source.

Return the useful evidence and state the gap. The system should ask a clarifying question or route the request to a person instead of filling the gap with a plausible answer.

Read the engineering behind it