Uses of Package
ai.redouble.demo.extract

Packages that use ai.redouble.demo.extract
  • Class
    Description
    The classifier's verdict on a file nothing else could place.
     
    A vector and the key it embeds, plus the model that produced it: vectors are comparable only with vectors from the same model, so the index records which one every vector came from.
    What came out of one file: its text, or the reason there is none, or both.
    How a deployment reads the formats code can open without a model, chosen by which implementation is on the classpath.
    What a run did: one row per file with the tier that handled it, the model that served it and what that cost, and the run's totals per currency and per model from the ledger.
    One file's row.
    One model's share of the run.
    A run of the extractor: at most how many files, and the spend it may commit.
    One cap: an amount in an ISO 4217 currency.
    What the classifier sees of a file nothing else could place: its name, its size and its first bytes decoded as text, with undecodable bytes shown as the replacement character.
    The rudimentary index: every extracted text with its vector, in memory, searched by cosine.
     
    The one input every extraction tool takes: which file.
    What a workflow spent, read off the cost ledger once it is done: the caps it ran under, the totals per currency, the split per model, and the call counts.
     
    A text to turn into a vector, keyed by what it belongs to: a file's path for the index, or a query for a search.
    How a file's text was, or was not, obtained.
  • Class
    Description
    What came out of one file: its text, or the reason there is none, or both.
    How a deployment reads the formats code can open without a model, chosen by which implementation is on the classpath.
    The one input every extraction tool takes: which file.
  • Class
    Description
    One cap: an amount in an ISO 4217 currency.
    The rudimentary index: every extracted text with its vector, in memory, searched by cosine.
    What a workflow spent, read off the cost ledger once it is done: the caps it ran under, the totals per currency, the split per model, and the call counts.
  • Class
    Description
    What a run did: one row per file with the tier that handled it, the model that served it and what that cost, and the run's totals per currency and per model from the ledger.
    A run of the extractor: at most how many files, and the spend it may commit.
    The rudimentary index: every extracted text with its vector, in memory, searched by cosine.
     
  • Class
    Description
    What a run did: one row per file with the tier that handled it, the model that served it and what that cost, and the run's totals per currency and per model from the ledger.
    A run of the extractor: at most how many files, and the spend it may commit.
    The rudimentary index: every extracted text with its vector, in memory, searched by cosine.