Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

chore: refactor simpleVectorStorage #126

Merged
merged 2 commits into from
Sep 13, 2023
Merged

chore: refactor simpleVectorStorage #126

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
f86ba2d
chore: refactor simpleVectorStorage
henomis Sep 13, 2023
6cdb796
fix
henomis Sep 13, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
59 changes: 37 additions & 22 deletions index/simpleVectorIndex/simpleVectorIndex.go
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@ import (
"github.com/henomis/lingoose/embedder"
"github.com/henomis/lingoose/index"
"github.com/henomis/lingoose/index/option"
"github.com/henomis/lingoose/types"
)

const (
Expand All @@ -20,8 +21,9 @@ const (
)

type data struct {
Document document.Document `json:"document"`
Embedding embedder.Embedding `json:"embedding"`
ID string `json:"id"`
Metadata types.Meta `json:"metadata"`
Values []float64 `json:"values"`
}

type Index struct {
Expand All @@ -45,10 +47,12 @@ func New(name string, outputPath string, embedder index.Embedder) *Index {
}

func (s *Index) LoadFromDocuments(ctx context.Context, documents []document.Document) error {
err := s.load()
if err != nil {
return fmt.Errorf("%s: %w", index.ErrInternal, err)
}

s.data = []data{}

documentIndex := 0
id := 0
for i := 0; i < len(documents); i += defaultBatchSize {

end := i + defaultBatchSize
Expand All @@ -67,25 +71,34 @@ func (s *Index) LoadFromDocuments(ctx context.Context, documents []document.Docu
}

for j, document := range documents[i:end] {
s.data = append(s.data, data{
Document: document,
Embedding: embeddings[j],
})

documents[documentIndex].Metadata[index.DefaultKeyID] = fmt.Sprintf("%d", documentIndex)
documentIndex++
s.data = append(s.data, buildDataFromEmbeddingAndDocument(id, embeddings[j], document))
id++
}

}

err := s.save()
err = s.save()
if err != nil {
return fmt.Errorf("%s: %w", index.ErrInternal, err)
}

return nil
}

func buildDataFromEmbeddingAndDocument(
id int,
embedding embedder.Embedding,
document document.Document,
) data {
metadata := index.DeepCopyMetadata(document.Metadata)
metadata[index.DefaultKeyContent] = document.Content
return data{
ID: fmt.Sprintf("%d", id),
Values: embedding,
Metadata: metadata,
}
}

func (s Index) save() error {

jsonContent, err := json.Marshal(s.data)
Expand All @@ -97,11 +110,14 @@ func (s Index) save() error {
}

func (s *Index) load() error {

if len(s.data) > 0 {
return nil
}

if _, err := os.Stat(s.database()); os.IsNotExist(err) {
return s.save()
}

content, err := os.ReadFile(s.database())
if err != nil {
return err
Expand Down Expand Up @@ -149,13 +165,13 @@ func (s *Index) SimilaritySearch(ctx context.Context, query string, opts ...opti
searchResponses := make([]index.SearchResponse, len(scores))

for i, score := range scores {

id := s.data[i].Document.Metadata[index.DefaultKeyID].(string)

searchResponses[i] = index.SearchResponse{
ID: id,
Document: s.data[i].Document,
Score: score,
ID: s.data[i].ID,
Document: document.Document{
Content: s.data[i].Metadata[index.DefaultKeyContent].(string),
Metadata: s.data[i].Metadata,
},
Score: score,
}
}

Expand Down Expand Up @@ -185,11 +201,10 @@ func (s *Index) cosineSimilarity(a embedder.Embedding, b embedder.Embedding) flo
}

func (s *Index) cosineSimilarityBatch(a embedder.Embedding) []float64 {

scores := make([]float64, len(s.data))

for i := range s.data {
scores[i] = s.cosineSimilarity(a, s.data[i].Embedding)
scores[i] = s.cosineSimilarity(a, s.data[i].Values)
}

return scores
Expand Down