Pūnaha

Enterprise AI search

Search the way people think, not just the words they type

Pūnaha helps people find relevant organisational knowledge using semantic meaning, keywords or a blend of both. Results can support a direct answer or become the trusted context for an AI workflow.

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Useful retrieval

Find the material that can answer the question

Enterprise search has to work with the way knowledge is actually written, stored and requested.

Semantic search

Retrieve content by meaning, which helps when a query and its best source use different language.

Hybrid search

Combine semantic relevance with keyword matching when exact terms, names or identifiers matter.

Document understanding

Extract searchable text from supported office documents, PDF, email, RTF, EPUB and OpenDocument files.

Tenant-aware knowledge

Keep separate knowledge databases for different tenants and operational contexts.

AI-ready context

Pass relevant retrieved material into a workflow so the selected model works with approved context.

Inspectable operation

Use application logs, audit information and workflow execution history to understand what happened.

How enterprise knowledge becomes searchable

A practical path from source to answer

  1. Bring in supported content

    Ingest text and supported files, including email and Outlook attachments.

  2. Prepare the knowledge

    Extract and organise the material for the selected tenant-aware knowledge store.

  3. Retrieve relevant passages

    Use semantic or hybrid retrieval according to the query and use case.

  4. Use the result

    Return relevant context, support an AI response or continue through a governed workflow.

Beyond a search box

Let trusted retrieval support the next step

Finding a source is often the beginning of the work, not the end.

A retrieval step can sit inside a versioned workflow alongside prompts, model calls, approvals and merged results.

This lets teams reuse the same governed knowledge in different processes without forcing every task into a single assistant experience.

Direct knowledge discovery

Help a person locate material relevant to a question or investigation.

Retrieval-assisted AI

Provide a model with selected organisational context before it prepares a response.

Workflow input

Use retrieved information as one step in a longer process with review and action.

Questions

Enterprise AI search questions

What is the difference between semantic and keyword search?

Keyword search looks for matching terms. Semantic search looks for related meaning. Pūnaha also supports hybrid retrieval so an implementation can use both signals together.

Can search use private organisational content?

Yes. Pūnaha is designed to work with organisational knowledge and can run on customer-controlled infrastructure. Access design and source permissions still need to be configured for the intended environment.

Does Pūnaha support image-only PDF documents?

Text extraction is supported for PDFs that contain readable text. OCR for image-only PDFs is not currently presented as a ready website capability.

Can retrieved knowledge be used in an AI workflow?

Yes. Retrieval is a workflow building block and can provide relevant context to later prompt, model, approval or merge steps.