data

package

v0.0.0-...-68061ec Latest Latest Go to latest Published: May 13, 2023 License: MIT Imports: 7 Imported by: 0

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Tagged version

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Stable version

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Repository

github.com/ancalabrese/tldr

Links

Open Source Insights

Documentation ¶

Index ¶

func GetEmbeddings(ctx context.Context, text []string, llm *openai.Client) ([]openai.Embedding, error)
func ParseEmbeddings(r io.Reader) ([]openai.Embedding, error)
type DistanceFunc
type RelatedEmbedding
- func RankEmbeddingsByRelatedness(llm openai.Client, kbEmbeddings []openai.Embedding, ...) []RelatedEmbedding

Constants ¶

This section is empty.

Variables ¶

This section is empty.

Functions ¶

func GetEmbeddings ¶

func GetEmbeddings(ctx context.Context, text []string, llm *openai.Client) ([]openai.Embedding, error)

func ParseEmbeddings ¶

func ParseEmbeddings(r io.Reader) ([]openai.Embedding, error)

Types ¶

type DistanceFunc ¶

type DistanceFunc func(embeddingsA []float32, embeddingsB []float32) float32

type RelatedEmbedding ¶

type RelatedEmbedding struct {
	Embedding      openai.Embedding
	RelevanceScore float32
	Query          string
}

func RankEmbeddingsByRelatedness ¶

func RankEmbeddingsByRelatedness(
	llm openai.Client,
	kbEmbeddings []openai.Embedding,
	queryEmbedding openai.Embedding,
	distanceFunc DistanceFunc,
	maxResults int,
	ctx context.Context) []RelatedEmbedding

Source Files ¶

View all Source files

embedding.go

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