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|
package storage
import (
"elefant/models"
"errors"
"fmt"
"unsafe"
sqlite_vec "github.com/asg017/sqlite-vec-go-bindings/ncruces"
)
type VectorRepo interface {
WriteVector(*models.VectorRow) error
SearchClosest(q []float32) ([]models.VectorRow, error)
}
var (
vecTableName = "embeddings"
vecTableName384 = "embeddings_384"
)
func fetchTableName(emb []float32) (string, error) {
switch len(emb) {
case 5120:
return vecTableName, nil
case 384:
return vecTableName384, nil
default:
return "", fmt.Errorf("no table for the size of %d", len(emb))
}
}
func (p ProviderSQL) WriteVector(row *models.VectorRow) error {
tableName, err := fetchTableName(row.Embeddings)
if err != nil {
return err
}
stmt, _, err := p.s3Conn.Prepare(
fmt.Sprintf("INSERT INTO %s(embedding, slug, raw_text) VALUES (?, ?, ?)", tableName))
if err != nil {
p.logger.Error("failed to prep a stmt", "error", err)
return err
}
defer stmt.Close()
v, err := sqlite_vec.SerializeFloat32(row.Embeddings)
if err != nil {
p.logger.Error("failed to serialize vector",
"emb-len", len(row.Embeddings), "error", err)
return err
}
if v == nil {
err = errors.New("empty vector after serialization")
p.logger.Error("empty vector after serialization",
"emb-len", len(row.Embeddings), "text", row.RawText, "error", err)
return err
}
if err := stmt.BindBlob(1, v); err != nil {
p.logger.Error("failed to bind", "error", err)
return err
}
if err := stmt.BindText(2, row.Slug); err != nil {
p.logger.Error("failed to bind", "error", err)
return err
}
if err := stmt.BindText(3, row.RawText); err != nil {
p.logger.Error("failed to bind", "error", err)
return err
}
err = stmt.Exec()
if err != nil {
p.logger.Error("failed exec a stmt", "error", err)
return err
}
return nil
}
func decodeUnsafe(bs []byte) []float32 {
return unsafe.Slice((*float32)(unsafe.Pointer(&bs[0])), len(bs)/4)
}
func (p ProviderSQL) SearchClosest(q []float32) ([]models.VectorRow, error) {
tableName, err := fetchTableName(q)
if err != nil {
return nil, err
}
stmt, _, err := p.s3Conn.Prepare(
fmt.Sprintf(`SELECT
id,
distance,
embedding,
slug,
raw_text
FROM %s
WHERE embedding MATCH ?
ORDER BY distance
LIMIT 4
`, tableName))
if err != nil {
return nil, err
}
query, err := sqlite_vec.SerializeFloat32(q[:])
if err != nil {
return nil, err
}
if err := stmt.BindBlob(1, query); err != nil {
p.logger.Error("failed to bind", "error", err)
return nil, err
}
resp := []models.VectorRow{}
for stmt.Step() {
res := models.VectorRow{}
res.ID = uint32(stmt.ColumnInt64(0))
res.Distance = float32(stmt.ColumnFloat(1))
emb := stmt.ColumnRawText(2)
res.Embeddings = decodeUnsafe(emb)
res.Slug = stmt.ColumnText(3)
res.RawText = stmt.ColumnText(4)
resp = append(resp, res)
}
if err := stmt.Err(); err != nil {
return nil, err
}
err = stmt.Close()
if err != nil {
return nil, err
}
return resp, nil
}
|
