使用Ollama和Go基于文本嵌入模型实现文本向量化

$ollama pull nomic-embed-text:v1.5
pulling manifest
pulling manifest
pulling 970aa74c0a90... 100% ▕██████████████████████████████████████████████████████████████████▏ 274 MB                         
pulling c71d239df917... 100% ▕██████████████████████████████████████████████████████████████████▏  11 KB                         
pulling ce4a164fc046... 100% ▕██████████████████████████████████████████████████████████████████▏   17 B                         
pulling 31df23ea7daa... 100% ▕██████████████████████████████████████████████████████████████████▏  420 B                         
verifying sha256 digest
writing manifest
removing any unused layers
success
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$ollama list
NAME                       ID              SIZE      MODIFIED      
llama3:latest              71a106a91016    4.7 GB    2 weeks ago      
nomic-embed-text:v1.5      0a109f422b47    274 MB    3 seconds ago
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$ollama run nomic-embed-text:v1.5
Error: embedding models do not support chat
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$curl http://localhost:11434/api/embeddings -d '{
  "model": "nomic-embed-text:v1.5",     
  "prompt": "The sky is blue because of Rayleigh scattering"
}'
{"embedding":[-1.246808409690857,0.10344144701957703,0.6935597658157349,-0.6157534718513489,0.4244955778121948,-0.7677388191223145,1.4136837720870972,0.012530215084552765,0.007208258379250765,-0.858286440372467,1.02878999710083,0.6512939929962158,1.0005667209625244,1.4231345653533936,0.30222395062446594,-0.4343869090080261,-1.358498215675354,-1.0671193599700928,0.3035725951194763,-1.5876567363739014,-0.9811925888061523,-0.31766557693481445,-0.32180508971214294,0.5726669430732727,-1.4187577962875366,-0.23533311486244202,-0.3387795686721802,0.02435961365699768,-0.9517765641212463,0.4120883047580719,-0.4619484841823578,-0.6658303737640381,0.010240706615149975,0.7687620520591736,0.9147310853004456,-0.18446297943592072,1.6336615085601807,1.006791353225708,-0.7928107976913452,0.3333768844604492,-0.9133707880973816,-0.8000166416168213,-0.41302260756492615,0.32945334911346436,0.44106146693229675,-1.3581880331039429,-0.2830675542354584,-0.49363842606544495,0.20744864642620087,0.039297714829444885,-0.6562637686729431,-0.24374787509441376,-0.22294744849205017,-0.664574921131134,0.5489196181297302,1.0000559091567993,0.45487216114997864,0.5257866382598877,0.25838619470596313,0.8648120760917664,0.32076674699783325,1.79911208152771,-0.23030932247638702,0.27912014722824097,0.6304138898849487,-1.1762936115264893,0.2685599625110626,-0.6646256446838379,0.332780659198761,0.1742674708366394,-0.27117523550987244,-1.1485087871551514,0.07291799038648605,0.7712352275848389,...,]}
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// textembedding.go
package main

import (
        "context"
        "fmt"
        "log"

        "github.com/tmc/langchaingo/llms/ollama"
)

func main() {
        llm, err := ollama.New(ollama.WithModel("nomic-embed-text:v1.5"))
        if err != nil {
                log.Fatal(err)
        }
        ctx := context.Background()
        inputText := "The sky is blue because of Rayleigh scattering"
        result, err := llm.CreateEmbedding(ctx, []string{inputText})
        if err != nil {
                log.Fatal(err)
        }

        fmt.Printf("%#v\n", result)
        fmt.Printf("%d\n", len(result[0]))
}
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# go mod tidy
go: finding module for package github.com/tmc/langchaingo/llms/ollama
go: toolchain upgrade needed to resolve github.com/tmc/langchaingo/llms/ollama
go: github.com/tmc/langchaingo@v0.1.9 requires go >= 1.22.0; switching to go1.22.3
go: downloading go1.22.3 (linux/amd64)
go: finding module for package github.com/tmc/langchaingo/llms/ollama
go: found github.com/tmc/langchaingo/llms/ollama in github.com/tmc/langchaingo v0.1.9
go: downloading github.com/stretchr/testify v1.9.0
go: downloading github.com/pkoukk/tiktoken-go v0.1.6
go: downloading gopkg.in/yaml.v3 v3.0.1
go: downloading github.com/davecgh/go-spew v1.1.1
go: downloading github.com/pmezard/go-difflib v1.0.0
go: downloading github.com/google/uuid v1.6.0
go: downloading github.com/dlclark/regexp2 v1.10.0
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$go run textembedding.go
[][]float32{[]float32{-1.2468084, 0.10344145, 0.69355977, -0.6157535, 0.42449558, -0.7677388, 1.4136838, 0.012530215, 0.0072082584, -0.85828644, 1.02879, 0.651294, 1.0005667, 1.4231346, 0.30222395, -0.4343869, -1.3584982, -1.0671194, 0.3035726, -1.5876567, -0.9811926, -0.31766558, -0.3218051, 0.57266694, -1.4187578, -0.23533311, -0.33877957, 0.024359614, -0.95177656, 0.4120883, -0.46194848, -0.6658304, 0.010240707, 0.76876205, 0.9147311, -0.18446298, 1.6336615, 1.0067914, -0.7928108, 0.33337688, -0.9133708, -0.80001664, -0.4130226, 0.32945335, 0.44106147, -1.358188, -0.28306755, -0.49363843, 0.20744865, 0.039297715, -0.65626377, -0.24374788, -0.22294745, -0.6645749, 0.5489196, 1.0000559, 0.45487216, 0.52578664, 0.2583862, 0.8648121, 0.32076675, 1.7991121, -0.23030932, 0.27912015, 0.6304139, -1.1762936, 0.26855996, -0.66462564, 0.33278066, 0.17426747, -0.27117524, -1.1485088, 0.07291799, 0.7712352, -1.2570909, -0.6230442, 0.02963586, -0.4936177, -0.014295651, 0.5730515, ... ,  -0.5260737, -0.44808808, 0.9352375}}
768
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