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// _ _
// __ _____ __ ___ ___ __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
// \ V V / __/ (_| |\ V /| | (_| | || __/
// \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
// Copyright © 2016 - 2025 Weaviate B.V. All rights reserved.
//
// CONTACT: hello@weaviate.io
//
package modtransformers
import (
"context"
"os"
"time"
"github.com/pkg/errors"
"github.com/sirupsen/logrus"
entcfg "github.com/weaviate/weaviate/entities/config"
"github.com/weaviate/weaviate/entities/models"
"github.com/weaviate/weaviate/entities/modulecapabilities"
"github.com/weaviate/weaviate/entities/moduletools"
"github.com/weaviate/weaviate/modules/text2vec-gpt4all/clients"
"github.com/weaviate/weaviate/modules/text2vec-gpt4all/vectorizer"
"github.com/weaviate/weaviate/usecases/modulecomponents/additional"
"github.com/weaviate/weaviate/usecases/modulecomponents/batch"
"github.com/weaviate/weaviate/usecases/modulecomponents/text2vecbase"
)
const Name = "text2vec-gpt4all"
func New() *GPT4AllModule {
return &GPT4AllModule{}
}
type GPT4AllModule struct {
vectorizer text2vecbase.TextVectorizer[[]float32]
metaProvider text2vecbase.MetaProvider
graphqlProvider modulecapabilities.GraphQLArguments
searcher modulecapabilities.Searcher[[]float32]
nearTextTransformer modulecapabilities.TextTransform
logger logrus.FieldLogger
additionalPropertiesProvider modulecapabilities.AdditionalProperties
}
func (m *GPT4AllModule) Name() string {
return Name
}
func (m *GPT4AllModule) Type() modulecapabilities.ModuleType {
return modulecapabilities.Text2Vec
}
func (m *GPT4AllModule) Init(ctx context.Context,
params moduletools.ModuleInitParams,
) error {
m.logger = params.GetLogger()
if err := m.initVectorizer(ctx, params.GetConfig().ModuleHttpClientTimeout, m.logger); err != nil {
return errors.Wrap(err, "init vectorizer")
}
if err := m.initAdditionalPropertiesProvider(); err != nil {
return errors.Wrap(err, "init additional properties provider")
}
return nil
}
func (m *GPT4AllModule) InitExtension(modules []modulecapabilities.Module) error {
for _, module := range modules {
if module.Name() == m.Name() {
continue
}
if arg, ok := module.(modulecapabilities.TextTransformers); ok {
if arg != nil && arg.TextTransformers() != nil {
m.nearTextTransformer = arg.TextTransformers()["nearText"]
}
}
}
if err := m.initNearText(); err != nil {
return errors.Wrap(err, "init graphql provider")
}
return nil
}
func (m *GPT4AllModule) initVectorizer(ctx context.Context, timeout time.Duration,
logger logrus.FieldLogger,
) error {
uri := os.Getenv("GPT4ALL_INFERENCE_API")
if uri == "" {
return errors.New("required variable GPT4ALL_INFERENCE_API is not set")
}
waitForStartup := true
if envWaitForStartup := os.Getenv("GPT4ALL_WAIT_FOR_STARTUP"); envWaitForStartup != "" {
waitForStartup = entcfg.Enabled(envWaitForStartup)
}
client := clients.New(uri, timeout, logger)
if waitForStartup {
if err := client.WaitForStartup(ctx, 1*time.Second); err != nil {
return errors.Wrap(err, "init remote vectorizer")
}
}
m.vectorizer = vectorizer.New(client)
m.metaProvider = client
return nil
}
func (m *GPT4AllModule) initAdditionalPropertiesProvider() error {
m.additionalPropertiesProvider = additional.NewText2VecProvider()
return nil
}
func (m *GPT4AllModule) VectorizeObject(ctx context.Context,
obj *models.Object, cfg moduletools.ClassConfig,
) ([]float32, models.AdditionalProperties, error) {
return m.vectorizer.Object(ctx, obj, cfg)
}
func (m *GPT4AllModule) VectorizeBatch(ctx context.Context, objs []*models.Object, skipObject []bool, cfg moduletools.ClassConfig) ([][]float32, []models.AdditionalProperties, map[int]error) {
return batch.VectorizeBatch(ctx, objs, skipObject, cfg, m.logger, m.vectorizer.Object)
}
func (m *GPT4AllModule) MetaInfo() (map[string]interface{}, error) {
return m.metaProvider.MetaInfo()
}
func (m *GPT4AllModule) AdditionalProperties() map[string]modulecapabilities.AdditionalProperty {
return m.additionalPropertiesProvider.AdditionalProperties()
}
func (m *GPT4AllModule) VectorizableProperties(cfg moduletools.ClassConfig) (bool, []string, error) {
return true, nil, nil
}
func (m *GPT4AllModule) VectorizeInput(ctx context.Context,
input string, cfg moduletools.ClassConfig,
) ([]float32, error) {
return m.vectorizer.Texts(ctx, []string{input}, cfg)
}
// verify we implement the modules.Module interface
var (
_ = modulecapabilities.Module(New())
_ = modulecapabilities.Vectorizer[[]float32](New())
_ = modulecapabilities.MetaProvider(New())
)