Turn your documents into a body of knowledge.
Bring the files that define a project into one persistent workspace. Ask across the collection or focus on one source, inspect the evidence behind the answer, and return without rebuilding the context.
What tradeoffs do these documents identify between model quality, latency and inference cost?
The sources broadly agree that higher model quality can increase latency and cost. Several recommend routing routine requests to smaller models while reserving larger models for tasks requiring deeper reasoning. [1] [2]
The documents exist. The understanding is still fragmented.
The evidence lives in too many places
Files sit across folders, inboxes, drives and tabs. The information is available, but the project has no single working context.
The question crosses document boundaries
The answer depends on several sources, but most workflows force you to inspect and summarize them one at a time.
The answer loses its provenance
A useful paragraph gets copied into a note or presentation, while the exact source and supporting excerpt disappear.
The work resets between sessions
Previous questions, instructions and conclusions become another trail you must reconstruct before the next round of work can begin.
One workspace holds the entire line of inquiry.
Search+ keeps the project’s files, standing instructions, conversations and source evidence inside one persistent environment. Every new question begins with the context the workspace has already accumulated.
Files
Reports, papers, contracts, notes, spreadsheets and supported web pages.
Workspace Context
Set priorities, definitions and constraints once, applied to every question.
Conversations
Keep separate lines of inquiry and reopen them when the work continues.
Scope
Ask across the full collection, or deliberately narrow to one source.
“Prioritize technical findings, distinguish evidence from interpretation, preserve source citations and make important limitations explicit.”
Watch a folder become a working body of knowledge.
The documents arrive first. Then the workspace gains instructions, questions, evidence, conversations and reusable analysis.
Create a permanent home for the project
Name the workspace once. It becomes the continuing environment for the documents, questions and conclusions surrounding that body of work.
Add the source material
Bring in PDFs, documents, spreadsheets, text files or supported web pages. Search+ processes each source so it can participate in the workspace.
Set the rules for the work
Add standing instructions that should shape every answer: priorities, terminology, exclusions, evidence standards or required output conventions.
“Prioritize technical findings, distinguish evidence from speculation, preserve source citations, and explain important limitations.”
Ask a question no single file can answer
Search across the eligible collection to compare claims, identify patterns and synthesize evidence distributed across several sources.
What are the major tradeoffs these documents identify between model quality, latency, and inference cost?
Higher quality trades against latency and per-query cost. Routing routine requests to smaller models recovers most of the savings [1] with no measurable quality drop on routine tasks [2].
Narrow the scope when precision matters
Pin the conversation to one document when the question requires a focused, source-specific answer.
What routing strategy does this document recommend, and under what conditions?
It recommends confidence-based routing: send routine extraction and classification to a small model, and escalate to a larger model only when confidence is low or the task is reasoning-heavy [1].
Inspect the evidence behind the claim
Open a citation to see the source, available location metadata and the exact excerpt supporting the answer.
…recovers most of the savings [1] with no measurable quality drop [2].
[1]compute-market-analysis.pdf§3.2
[2]model-routing-strategies.pdf§1.4
Return without reconstructing the work
Reopen an earlier thread with its workspace, scope and conversational context intact.
Turn the collection into a structured analysis
Compare, synthesize or extract across selected sources and preserve the result as part of the continuing workspace.
All six expect demand to rise; the split is on how steeply.
Two treat capacity as binding; others emphasize latency.
A workspace is not an upload folder. It is a persistent body of files, context, conversations, evidence, and reusable analysis.
Ask the collection. Interrogate the source.
“What tradeoffs do these sources identify between model quality, latency and inference cost?”
Search across every eligible source when the answer depends on comparison, synthesis or evidence distributed throughout the collection.
“What routing strategy does this document recommend, and under which conditions?”
Narrow the conversation to a specific document when you need an answer grounded only in that file.
Keep the answer attached to the evidence.
Inline citations connect important claims to the source material behind them. Open a citation to inspect the document, available location metadata and the supporting excerpt.
Search+ shows sections and page references when the underlying source provides them. It does not manufacture location data that the document does not contain.
Selective routing preserved task success while cutting spend; smaller models matched larger ones on routine tasks [1]; smaller models matched larger ones on routine tasks [2].
[1]compute-market-analysis.pdf§3.2
[2]model-routing-strategies.pdf§1.4
When the question spans documents, the result should show its work.
Select the relevant sources and choose an analysis mode. Search+ compares, synthesizes or extracts across the collection and returns a structured result connected to the underlying evidence.
Compare the six sources’ assumptions about inference demand, identify agreements and contradictions, and produce a sourced synthesis.
All six expect rising demand; the split is on how steeply.
Two treat capacity as binding; others emphasize latency.
Every important conclusion remains connected to its source. Continue the inquiry from the result.
Built for questions that do not fit inside one document.
Review research literature
Compare methods, findings and limitations across a reading list.
Compare reports
Surface agreements, differences and quiet contradictions between sources.
Work through board or diligence materials
Question decks, memos, models and supporting documents inside one workspace.
Trace a claim
Follow a statement back to the excerpt that supports it.
Analyze interviews
Find recurring themes and disagreements across transcripts.
Extract structured findings
Pull the same fields, claims or evidence types from several documents.
Build an evidence brief
Organize the strongest findings and the sources behind them before making a recommendation.
Investigate one source
Narrow the scope for precise questions about a specific document.
Bring the documents the work actually depends on.
Each return should start further ahead.
Files and standing context remain attached to the project. Nothing to reconstruct next week.
Reopen an earlier conversation and continue from the reasoning already established.
New sources extend the workspace while previous questions and conclusions remain available.
Deep Analysis results become reusable work products rather than disposable responses.
Choose the capacity your work requires.
Use Search+ as a personal knowledge workspace, collaborate with a small team or secure early lifetime access without a recurring subscription.
- +600 pages included per month
- +$0.02 per additional page
- +Unlimited Workspaces
- +Chat with documents
- +Deep Analysis (beta)
- +OCR
- +No document size limit
- +Custom Deep Analysis Templates
- +Early access to new features
- +Team of 3 users included: the account owner plus 2 additional users
- +Role-based access control
- +3,000 pages included per month
- +Each additional user gets 250 pages
- +$0.01 per additional page
- +Unlimited Workspaces
- +Chat with documents
- +Deep Analysis (beta)
- +OCR
- +No document size limit
- +Custom Deep Analysis Templates
- +Early access to new features
- +Up to 100 chats per month
- +Up to 10GB storage
- +Access to all core features
- +No recurring subscription
- +Pay-as-you-go for additional usage
Monthly usage limits and pay-as-you-go charges still apply.
Serious document work needs visible evidence, and visible limits.
Inspect the source
Citations open to the source material behind the answer, not merely a document title.
Control the scope
Search+ makes it clear whether a response draws from the workspace or one selected source.
Keep judgment human
Search+ helps you investigate and organize evidence. It does not guarantee that an answer is complete, correct or appropriate for a consequential decision.
Questions, answered.
What is Search+?+
How is Search+ different from a basic document chatbot?+
Can I ask questions across several documents?+
Can I limit a question to one document?+
Does Search+ show where an answer came from?+
What does Workspace Context do?+
What is Deep Analysis?+
Will my workspaces and conversations be saved?+
Which file types does Search+ support?+
Is there a document-size limit?+
Can Search+ guarantee that an answer is correct?+
Build the body of knowledge your next decision depends on.
Start with the documents already defining the work. Keep the questions, context and evidence connected as the project evolves.