qdrant

Documentation

Index

• type CreateCollectionOptions
• type Distance
• type Index
  • func New(options Options, embedder index.Embedder) *Index
  • func (p *Index) IsEmpty(ctx context.Context) (bool, error)
  • func (q *Index) LoadFromDocuments(ctx context.Context, documents []document.Document) error
  • func (q *Index) SimilaritySearch(ctx context.Context, query string, opts ...option.Option) (index.SearchResponses, error)
  • func (q *Index) WithAPIKeyAndEdpoint(apiKey, endpoint string) *Index
• type Options

Types

type CreateCollectionOptions

type CreateCollectionOptions struct {
	Dimension uint64
	Distance  Distance
	OnDisk    bool
}

type Distance

type Distance string

const (
	DistanceCosine    Distance = Distance(qdrantrequest.DistanceCosine)
	DistanceEuclidean Distance = Distance(qdrantrequest.DistanceEuclidean)
	DistanceDot       Distance = Distance(qdrantrequest.DistanceDot)
)

type Index

type Index struct {
	// contains filtered or unexported fields
}

func New

func New(options Options, embedder index.Embedder) *Index

func (*Index) IsEmpty

func (p *Index) IsEmpty(ctx context.Context) (bool, error)

func (*Index) LoadFromDocuments

func (q *Index) LoadFromDocuments(ctx context.Context, documents []document.Document) error

func (*Index) SimilaritySearch

func (q *Index) SimilaritySearch(ctx context.Context, query string, opts ...option.Option) (index.SearchResponses, error)

func (*Index) WithAPIKeyAndEdpoint

func (q *Index) WithAPIKeyAndEdpoint(apiKey, endpoint string) *Index

type Options

type Options struct {
	CollectionName   string
	IncludeContent   bool
	BatchUpsertSize  *int
	CreateCollection *CreateCollectionOptions
}