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When you ask Pria a question, it can either answer from its general training — the same way a stock AI model would — or ground its answer in your own uploaded files. That second mode is called “knowledge retrieval”, and it’s what makes a Digital Twin feel like an expert in your material. The Knowledge entry in the [+] Actions menu lets you choose how Pria searches.

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What knowledge retrieval does

Behind the scenes, every file you put in your IP Vault (your personal vault, your Digital Twin’s shared vault, and the account-wide vault) is processed and indexed. When you ask a question with retrieval turned on, Pria:
  1. Searches the indexed content for the passages most relevant to your question.
  2. Hands those passages to the model as context.
  3. The model composes an answer that quotes or paraphrases your material and cites the source files.
The result: answers that reflect your documents, not just the model’s training cut-off. Citations let you jump straight to the original passage to verify.
Knowledge retrieval is the foundation of Pria as a knowledge worker tool. Most institutions leave it on by default.

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Where the Knowledge controls live

Open the [+] (Actions) menu to the left of the input pill and choose Knowledge. The panel expands inline with everything that shapes a reply’s context:
The Knowledge submenu showing a Remember History dropdown, a Manage Memory link, Sources options Disabled and RAG, and a Search Only output toggle.

The [+] Actions menu → Knowledge panel: Remember History, Manage Memory, the Sources radio, and the Search Only output toggle.

  • Remember History — how many recent exchanges stay in context (see Conversation History).
  • Manage Memory — long-term facts Pria remembers about you (see User Memory).
  • Sources — the retrieval mode (below).
  • Search Only — an output toggle (below).
Knowledge isn’t a separate sidebar panel — it’s a section of the [+] Actions menu, so it’s always one click from the composer while you chat.

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Sources: how Pria searches

The Sources radio is the core choice. It has two states — and the “on” state quietly upgrades itself when a knowledge graph is available.

Disabled

No retrieval at all. The model answers from its training data alone, with no reference to your files. Handy for off-topic questions or when you specifically want the model’s own knowledge.

RAG

Retrieval on. Pria runs a dense vector search over your file chunks to find the passages most similar in meaning to your question, then feeds them to the model. This is the everyday default for “what does this say about X” questions.

RAG + KAG Fusion

What RAG automatically becomes when the vault you’re searching has a knowledge graph. Pria adds a graph-search leg — entities (people, organisations, concepts) and the relationships between them — and fuses the two ranked lists. Better for “how does X relate to Y” or “who works on Z” questions where the answer is structural. You don’t pick this separately; turning Sources on uses Fusion wherever a graph exists, plain RAG otherwise.

Search Only (toggle)

A separate Output toggle, not a source. With it on, Pria returns the matched passages exactly as the model would have seen them — without calling the model to write a reply. Useful when you want to skim the raw hits and pick your own quote. It only applies while Sources is on.
So the menu is really two settings, not four peers: a Sources radio (Disabled / on) and a Search Only output toggle. “Normal RAG” and “KAG Fusion” are the same on state — Fusion simply kicks in when a graph is available.
A knowledge graph is available for your personal vault once you opt in (under Settings → Personal → Knowledge, below), or for a Digital Twin when an admin enables it. Once a graph exists you can browse it directly: open the Files panel and switch the Display selector to Tree of Knowledge to explore the extracted themes, entities, relationships, and source files. See Managing Files.
Whoever manages the Twin enables the graph under Settings → Instance → Knowledge → Enable KAG Fusion. The same tab tunes how files are ingested (chunk keyword enrichment, chunk sanitising).
The Instance Settings Knowledge tab describing the IP Vault and showing ingestion toggles — Chunk keyword enrichment, Sanitize chunks — and an Enable KAG Fusion for your Digital Twin toggle.

Instance Settings → Knowledge: an admin enables KAG Fusion (hybrid dense RAG + knowledge-graph retrieval) and tunes ingestion for the Twin's vault.

For your personal vault you control it yourself. Open [+] → Settings → Personal → Knowledge and turn on Enable KAG Fusion for my files (off by default). Once on, files you add to your personal library are organised into a knowledge graph, so your personal retrieval upgrades from plain RAG to RAG + KAG Fusion. The same tab carries the personal Retrieval Mode (Disabled / RAG + KAG Fusion) and Search Only controls — the same two axes the [+] menu exposes.
The Your Profile Knowledge tab showing Retrieval Mode (Disabled / RAG + KAG Fusion), a Search Only toggle, and an “Enable KAG Fusion for my files” toggle switched on.

Settings → Personal → Knowledge: turn on “Enable KAG Fusion for my files” to build a knowledge graph over your personal vault. Files inside an organisation's Twin follow that Twin's setting instead.

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When to use each

  • “What does the policy say about X?”
  • “Summarise the second chapter.”
  • “Find every place we mention vendor Y.”
  • “How are X and Y related?” / “Who else works on Jane’s projects?” — these lean on the Fusion graph leg when one’s available.
  • Most everyday questions where the answer is somewhere in your material.
  • Skimming for primary sources before writing your own draft.
  • Verifying a claim — get the passages without an LLM rephrasing.
  • Auditing what the retrieval layer is actually seeing.
  • Quick lookups where you trust your own reading over a synthesised answer.
  • General knowledge questions unrelated to your files.
  • Comparing Pria’s “off-the-shelf” answer to a grounded one.
  • Speed runs where you don’t need the retrieval step at all.
  • Diagnosing whether a wrong answer was caused by retrieval picking the wrong passages.
Your choice persists across conversations on this Digital Twin until you change it. Each Digital Twin remembers its own setting.
You’ll also see a small badge on each Pria reply showing how it was retrieved (e.g. RAG Search results or KAG Search results), so you can tell at a glance how an answer was grounded.

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Showing or hiding retrieved passages

When retrieval runs, Pria can show you exactly what it pulled in — a collapsible panel beneath each answer, so you can verify the reply against its sources. Whether the panel appears is governed by the Display RAG/KAG Search Details toggle under Settings → Instance → Personalization → Display Details (the same place as the thinking-display toggles). In Search Only mode the passages are the entire response — there’s nothing to hide them under.

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KAG / RAG Search Results

Expand the KAG Search Results (or RAG Search Results) disclosure at the foot of a reply to see every passage that fed the answer. Each row shows the source file (and segment), a preview of the matched text, its Relevance score, and its Length, with numbered citations you can click to open the original.
An expanded KAG Search Results panel listing four retrieved segments from a patent planning document, each with a content preview, a Relevance percentage, and a Length in characters.

Expanding “KAG Search Results: (4)” reveals the four passages behind the answer — source file, preview, relevance %, and length.

In the example above, the question “Tell me more about Praxis’s patent” pulled four segments from the user’s own patent-application-update.md, scored ~50–52% relevant — the answer is built from those passages, and the citations jump straight to them.

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Agent Details — what ran

When a reply also runs a tool — image generation, web search, an MCP connector, code — a separate Tool Details (Agent Details) disclosure appears. Expanded, it shows, per call: the tool name, a Success / failure status, the execution duration, the Arguments it was invoked with, and the Response it returned.
An expanded Tool Details panel for a generate_image call showing a Success status, a 57-second duration, the arguments passed, and the returned response.

Tool Details for a tool call: the tool name, Success status, duration, the arguments passed, and the response returned.

Together, KAG/RAG Search Results (what was retrieved) and Tool Details (what was run) let you trace exactly how an answer was produced — the verification habit at the heart of Best Practices.

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File scope: which vault gets searched

Every retrieval call looks across the vaults you have access to: All three are searched concurrently and their results merged. See Managing Files for how to upload, mark shared, or move files between scopes.
An Admin can configure a Digital Twin to ignore your personal vault when chatting in that twin — useful for keeping personal notes out of an enterprise context. When that’s set, personal files stay searchable from the standalone “Personal Pria” but are invisible while you’re inside the institution twin.

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Limitations

Knowledge retrieval has a few honest constraints worth knowing about.
  • Confidential files stay locked for everyone but their owner. A file marked Confidential can still lend its knowledge to answers, but other members never see its details — retrieval shows them a ”🔒 CONFIDENTIAL” marker and a short redacted snippet instead of the document. Only the owner gets full citations and preview. See What Confidential really means.
  • Very recent uploads may still be indexing. Large PDFs, audio, and video files take a few minutes to extract, chunk, and embed. If a brand-new file isn’t appearing in retrieval yet, give it a moment and check Files for processing status.
  • Disabled skips ALL files. Don’t leave Sources off by accident if you actually need grounded answers — your replies will go back to “general knowledge only”.
  • Fusion needs RAG. The graph leg always sits on top of the dense RAG leg; there’s no “graph only”. With Sources disabled, neither runs.
  • Search quality depends on file quality. Scanned PDFs without OCR, password-locked files, and corrupt uploads can’t be indexed. Check the file status in the IP Vault to see what’s processed.