Files
gf-lt/rag.go
2024-12-31 13:25:13 +03:00

41 lines
1.0 KiB
Go

package main
import (
"bytes"
"elefant/models"
"encoding/json"
)
func lineToVector(line string) (*models.EmbeddingResp, error) {
payload, err := json.Marshal(map[string]string{"content": line})
if err != nil {
logger.Error("failed to marshal payload", "err:", err.Error())
return nil, err
}
resp, err := httpClient.Post(cfg.EmbedURL, "application/json", bytes.NewReader(payload))
if err != nil {
logger.Error("failed to embedd line", "err:", err.Error())
return nil, err
}
defer resp.Body.Close()
emb := models.EmbeddingResp{}
if err := json.NewDecoder(resp.Body).Decode(&emb); err != nil {
logger.Error("failed to embedd line", "err:", err.Error())
return nil, err
}
return &emb, nil
}
func saveLine(topic, line string, emb *models.EmbeddingResp) error {
row := &models.VectorRow{
Embeddings: emb.Embedding,
Slug: topic,
RawText: line,
}
return store.WriteVector(row)
}
func searchEmb(emb *models.EmbeddingResp) (*models.VectorRow, error) {
return store.SearchClosest([5120]float32(emb.Embedding))
}