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Upload a CSV and ask it questions in plain language, without writing a formula

Upload any CSV into askFinz Knowledge and every row becomes searchable and usable in Chat and Research in plain language. Coming soon.

Every system exports one, so every team has dozens: survey exports, transaction extracts, product lists, attendance records. A CSV in a folder is a file you can sort and filter, but not one you can ask a question of — and the moment a column holds a sentence rather than a number, a spreadsheet stops helping. CSV upload is part of askFinz Knowledge, which is still rolling out; here is what it will do, and what it will not.

Ask a dataset a question in words

Upload the file and ask what you actually want to know — "which regions complained about delivery times" — rather than translating it into a filter, a pivot and a formula first.

Search the sentences inside the columns

Free-text columns are where the useful detail hides: comments, reasons, notes. Those are matched by meaning, so a row can come back even when it does not repeat your wording.

Use it beside your other work

ONE RECORD’S FIELDSWHAT IT BECOMESWHAT THAT LETS YOU ASKName, title, referencethe short columnsText you can matchby meaning, not spelling“the renewal we agreed in March”Notes, descriptions, commentsthe long columnsText you can quoteanswers cite the record“why was this one discounted?”Status, owner, date, amountthe typed columnsA filter you narrow bykept as a value, not prose“only the ones still open”Keys, tokens, passwordscolumns that hold a secretskipped on the way in — never stored, never searchable
What a row becomes once uploaded. Text columns become searchable; typed columns stay filters; anything that looks like a credential is skipped.

An uploaded dataset sits in the same search as your documents and notes, so an answer in Research can draw on the file and cite the row it came from. That matters most when the spreadsheet and the document disagree: both are quoted, and you can see which is which.

YOUR TOOLSWHAT CROSSESASKFINZDocuments you chooseonly the folders you pickTheir permissionswho could already see itEverything elsenever requested, never readread, on a schedule you setcarried across unchangedstays where it isIndexed for searchfindable in every workspaceSame permissionsno one gains accessAnswers that cite itback to the original file
A CSV crosses once, when you choose to upload it. Nothing on your machine is scanned, and no other file in the folder is touched.

What is read, and what is never written

What crosses, and what stays with you

Comes in

Read

only the file you upload, when you upload it.

Goes back

Written back

none

nothing. Your original file is untouched.

Kept

Stored

a searchable copy of the rows, plus the filename and the column names.

Out of scope

Never read

the rest of your machine, and anything you have not uploaded.

Setting it up

Planned — not available yet

What connecting it will look like once the connector arrives.

  1. 01

    Drag the file into Knowledge.

  2. 02

    Confirm the columns it detected, and mark any to exclude.

  3. 03

    Choose who in your workspace can see it — just you, or the team.

Limits, honestly

  • A CSV is a snapshot. Re-export and re-upload when the source changes; there is no live link.
  • Very large files may be split, and extremely wide files may have low-signal columns skipped.
  • Formulas are not evaluated — what crosses is the value in the cell.
  • Multi-sheet spreadsheets need one export per sheet.
  • Unusual delimiters and missing header rows are detected where possible, but a file without headers gives worse answers than one with them.
A glimpse of the workspace

Rows and columns you can question without writing a query.

data.askfinz.ai · liveWorkspace
Datasets
sales_2024_q4 · preview
order_id
int
customer
string
region
string
placed_at
datetime
amount
decimal
status
string
10421
A. Patel
EU-W
2024-12-02
412.5
paid
10422
M. Tran
AS-E
2024-12-02
1320
paid
10423
J. Okafor
AF-W
2024-12-02
88.4
refunded
10424
L. García
EU-W
2024-12-03
244
paid
10425
K. Sato
AS-E
2024-12-03
null
pending
10426
R. Johansson
EU-N
2024-12-03
1990
paid
10427
P. Singh
AS-S
2024-12-04
75
paid
10428
C. Mendes
AM-S
2024-12-04
null
pending
10429
V. Kuznetsova
EU-E
2024-12-04
308.2
paid
10430
D. Müller
EU-W
2024-12-05
1102
paid
Pipeline
Drop nulls
amount IS NOT NULL
Normalise dates
placed_at → ISO 8601
Aggregate by region
region → human-readable
Lineage
events_raw
sales_2024
sales_clean
sales_2024_q4
Coming soon to data.askfinz.ai

See how CSV Upload fits in — explore Knowledge or browse all integrations.