Representative content
Test the formats, vocabulary, quality and access patterns found in the intended environment.
Enterprise search guide
Enterprise search helps people find information across organisational sources
Modern enterprise search goes beyond matching a few words in a single repository. It prepares content, retrieves relevant material across approved collections and increasingly supplies trusted context to AI-assisted work.
Many sources
One search layer
Relevant knowledge
The basic process
How enterprise search works
Connect or ingest content
Bring approved material from organisational sources into a form the search system can process.
Extract and organise
Read supported formats, preserve useful context and associate the content with the correct collection or tenant.
Index for retrieval
Prepare keyword and semantic representations that can be searched efficiently.
Retrieve and rank
Use the query and selected method to return the material most likely to help.
Present or continue
Show the result to a person or use it as context in an approved AI workflow.
Retrieval methods
Keyword, semantic and hybrid search serve different needs
| Method | Useful when | Limitation to test |
|---|---|---|
| Keyword search | Exact terms, names, codes and phrases matter | Relevant content may use different wording |
| Semantic search | Meaning is more important than exact wording | Near concepts still need useful ranking and boundaries |
| Hybrid search | Both meaning and exact language contribute to relevance | The blend needs tuning and representative testing |
Evaluation
What makes enterprise search useful
Relevant results
Use a set of real questions and agreed relevance judgements rather than relying on an impressive demonstration alone.
Permission-aware design
Ensure search and downstream workflows respect the access boundaries required by the organisation.
Source quality
Treat outdated or conflicting knowledge as a governance issue, not something ranking can fully solve.
Operational fit
Review ingestion, monitoring, change, support and the ownership of each content connection.
AI data path
Know what retrieved content can reach a model, person or external service at each step.
Enterprise search questions
What is enterprise search software?
Enterprise search software helps authorised users find information across approved organisational sources. It typically processes content, builds searchable indexes and ranks results for a query.
What is AI enterprise search?
AI enterprise search commonly uses semantic representations and language models to improve retrieval or prepare answers from retrieved context. The exact design and controls vary by product.
What is retrieval-augmented generation?
Retrieval-augmented generation first retrieves relevant information and then provides it as context to a generative model. Retrieval can reduce reliance on the model's general knowledge, but source quality and output review still matter.
Does enterprise search replace knowledge governance?
No. Search can make content easier to find, but the organisation still owns source quality, access, currency, retention and permitted use.
See modern enterprise search inside a workflow
Follow the product tour or bring representative questions to a private demonstration.