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111 symbols 271 edges 29 files 71 documented · 64%

What it actually does AI analysis from the code graph — generated when you open this

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Extension points exported contracts — how you extend this code

Tokenizer (Interface)

Tokenizer is an interface for chunking a string into it's tokens as per the BERT implematation [3 implementers]

tokenize/tokenizer.go

Predictor (Interface)

Predictor creates tensors for prediction [1 implementers]

model/estimator/estimator.go

Provider (Interface)

Provider is an interface for exposing a vocab [1 implementers]

tokenize/vocab/vocab.go

TensorInputFunc (FuncType)

TensorInputFunc maps tensors to an estimator.InputFunc in the Predict pipeline

model/bert.go

BertOption (FuncType)

BertOption configures a BERT model

model/option.go

VocabTokenizer (Interface)

VocabTokenizer comprises of a Tokenizer and VocabProvider

tokenize/tokenizer.go

InputFunc (FuncType)

InputFunc matches feeds in sessions

model/estimator/estimator.go

FeatureTensorFunc (FuncType)

FeatureTensorFunc translates features to tensors

model/bert.go

Core symbols most depended-on inside this repo

exit

called by 7

examples/semantic-search/main.go

tokenize/tokenizer.go

tokenize/vocab/vocab.go

Int32

called by 3

tokenize/vocab/vocab.go

Shape

Function 64

Method 24

Struct 10

FuncType 6

Interface 6

TypeAlias 1

Languages

Go94%

Python6%

Modules by API surface

tokenize/vocab/vocab.go11 symbols

model/bert.go11 symbols

tokenize/tokenizer.go8 symbols

tokenize/basic.go8 symbols

tokenize/feature.go7 symbols

examples/semantic-search/engine.go7 symbols

model/option.go6 symbols

tokenize/wordpiece.go5 symbols

model/estimator/estimator.go5 symbols

tokenize/unicode_test.go4 symbols

tokenize/unicode.go4 symbols

tokenize/full.go3 symbols

For agents

$ claude mcp add gobert \
  -- python -m otcore.mcp_server <graph>

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