1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
|
package storage
import (
"gf-lt/models"
"encoding/binary"
"fmt"
"unsafe"
"github.com/jmoiron/sqlx"
)
type VectorRepo interface {
WriteVector(*models.VectorRow) error
SearchClosest(q []float32) ([]models.VectorRow, error)
ListFiles() ([]string, error)
RemoveEmbByFileName(filename string) error
DB() *sqlx.DB
}
// SerializeVector converts []float32 to binary blob
func SerializeVector(vec []float32) []byte {
buf := make([]byte, len(vec)*4) // 4 bytes per float32
for i, v := range vec {
binary.LittleEndian.PutUint32(buf[i*4:], mathFloat32bits(v))
}
return buf
}
// DeserializeVector converts binary blob back to []float32
func DeserializeVector(data []byte) []float32 {
count := len(data) / 4
vec := make([]float32, count)
for i := 0; i < count; i++ {
vec[i] = mathBitsToFloat32(binary.LittleEndian.Uint32(data[i*4:]))
}
return vec
}
// mathFloat32bits and mathBitsToFloat32 are helpers to convert between float32 and uint32
func mathFloat32bits(f float32) uint32 {
return binary.LittleEndian.Uint32((*(*[4]byte)(unsafe.Pointer(&f)))[:4])
}
func mathBitsToFloat32(b uint32) float32 {
return *(*float32)(unsafe.Pointer(&b))
}
var (
vecTableName5120 = "embeddings_5120"
vecTableName384 = "embeddings_384"
)
func fetchTableName(emb []float32) (string, error) {
switch len(emb) {
case 5120:
return vecTableName5120, 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, filename) VALUES (?, ?, ?, ?)", tableName))
if err != nil {
p.logger.Error("failed to prep a stmt", "error", err)
return err
}
defer stmt.Close()
serializedEmbeddings := SerializeVector(row.Embeddings)
if err := stmt.BindBlob(1, serializedEmbeddings); 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
}
if err := stmt.BindText(4, row.FileName); err != nil {
p.logger.Error("failed to bind", "error", err)
return err
}
err = stmt.Exec()
if err != nil {
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) {
// TODO: This function has been temporarily disabled to avoid deprecated library usage.
// In the new RAG implementation, this functionality is now in rag_new package.
// For compatibility, return empty result instead of using deprecated vector extension.
return []models.VectorRow{}, nil
}
func (p ProviderSQL) ListFiles() ([]string, error) {
q := fmt.Sprintf("SELECT filename FROM %s GROUP BY filename", vecTableName384)
stmt, _, err := p.s3Conn.Prepare(q)
if err != nil {
return nil, err
}
defer stmt.Close()
resp := []string{}
for stmt.Step() {
resp = append(resp, stmt.ColumnText(0))
}
if err := stmt.Err(); err != nil {
return nil, err
}
return resp, nil
}
func (p ProviderSQL) RemoveEmbByFileName(filename string) error {
q := fmt.Sprintf("DELETE FROM %s WHERE filename = ?", vecTableName384)
stmt, _, err := p.s3Conn.Prepare(q)
if err != nil {
return err
}
defer stmt.Close()
if err := stmt.BindText(1, filename); err != nil {
return err
}
return stmt.Exec()
}
|