Files
ragflow/internal/entity/models/voyage.go
Haruko386 bf41d35729 Go: implement PaddleOCR provider and implement ASR for CoHere (#14954)
### What problem does this PR solve?

This PR implement implement OCR for Baidu and Mistral, implement
PaddleOCR provider and implement ASR for CoHere

**Verified examples from the CLI:**

```
RAGFlow(user)> ocr with 'mistral-ocr-2512@test@mistral' file './internal/text.jpg'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text                                                                                                                                                                                                                                                             |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


RAGFlow(user)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text                                                                                                                                                                                                                                                             |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

# PaddleOCR
RAGFlow(user)> ocr with 'PaddleOCR-VL-1.5@test@paddleocr' file './internal/test.pdf'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text                                                                                                                                                                                                                                                             |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| # Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Bingxin Ke

Nando Metzger

Photogra

Anton Obukhov

Rodrigo Caye Daudt

netry and Remote Sensing,

Shengyu Huang

Konrad Schindler

ETH Zürich





<div style="text-align: c...  |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

# Cohere

RAGFlow(user)> asr with 'cohere-transcribe-03-2026@test@cohere' audio './internal/test.wav' param '{"language": "en"}'
+-----------------------------------------------------------------------------------------------------------------------+
| text                                                                                                                  |
+-----------------------------------------------------------------------------------------------------------------------+
|  The examination and testimony of the experts enabled the Commission to conclude that five shots may have been fired. |
+-----------------------------------------------------------------------------------------------------------------------+
```

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
2026-05-15 18:41:43 +08:00

390 lines
13 KiB
Go

//
// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
package models
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"time"
)
// VoyageModel implements ModelDriver for Voyage AI.
//
// Voyage AI exposes a focused REST API at https://api.voyageai.com/v1
// with embedding (/embeddings) and reranking (/rerank) only — no chat,
// no streaming, no /v1/models, no balance. This driver covers Embed
// and Rerank with real implementations and returns "no such method"
// for every other ModelDriver method.
//
// Wire shape, captured live:
//
// Embed response: {object, data:[{object,embedding,index,text}], model, usage}
// Rerank response: {object, data:[{relevance_score,index}], model, usage}
//
// Rerank uses top_k as the request param name (not top_n like
// Aliyun/SiliconFlow); the driver translates RerankConfig.TopN to
// top_k on the wire.
type VoyageModel struct {
BaseURL map[string]string
URLSuffix URLSuffix
httpClient *http.Client
}
// NewVoyageModel creates a new Voyage AI model instance.
//
// We clone http.DefaultTransport so we keep Go's defaults for
// ProxyFromEnvironment, DialContext (with KeepAlive), HTTP/2,
// TLSHandshakeTimeout, and ExpectContinueTimeout, and only override
// the connection-pool fields we care about.
func NewVoyageModel(baseURL map[string]string, urlSuffix URLSuffix) *VoyageModel {
transport := http.DefaultTransport.(*http.Transport).Clone()
transport.MaxIdleConns = 100
transport.MaxIdleConnsPerHost = 10
transport.IdleConnTimeout = 90 * time.Second
transport.DisableCompression = false
transport.ResponseHeaderTimeout = 60 * time.Second
return &VoyageModel{
BaseURL: baseURL,
URLSuffix: urlSuffix,
httpClient: &http.Client{
Transport: transport,
},
}
}
func (v *VoyageModel) NewInstance(baseURL map[string]string) ModelDriver {
return NewVoyageModel(baseURL, v.URLSuffix)
}
func (v *VoyageModel) Name() string {
return "voyage"
}
// baseURLForRegion returns the base URL for the given region, or an
// error if no entry exists. Single-region for Voyage but kept here
// for consistency with other drivers.
func (v *VoyageModel) baseURLForRegion(region string) (string, error) {
base, ok := v.BaseURL[region]
if !ok || base == "" {
return "", fmt.Errorf("voyage: no base URL configured for region %q", region)
}
return base, nil
}
type voyageEmbeddingData struct {
Embedding []float64 `json:"embedding"`
Object string `json:"object"`
Index int `json:"index"`
}
type voyageEmbeddingResponse struct {
Object string `json:"object"`
Data []voyageEmbeddingData `json:"data"`
Model string `json:"model"`
}
// Embed turns a list of texts into embedding vectors using the
// Voyage AI /v1/embeddings endpoint. Output is one vector per input,
// in the same order the inputs were given.
func (v *VoyageModel) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) {
if len(texts) == 0 {
return []EmbeddingData{}, nil
}
if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
return nil, fmt.Errorf("api key is required")
}
if modelName == nil || *modelName == "" {
return nil, fmt.Errorf("model name is required")
}
region := "default"
if apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
baseURL, err := v.baseURLForRegion(region)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), v.URLSuffix.Embedding)
reqBody := map[string]interface{}{
"model": *modelName,
"input": texts,
}
// Voyage's Matryoshka models (voyage-3.5, voyage-3.5-lite,
// voyage-3-large, voyage-code-3) accept output_dimension to
// truncate the vector. The wire param is output_dimension
// (singular) per https://docs.voyageai.com/reference/embeddings-api;
// passing "dimensions" or "output_dimensions" gets rejected with
// HTTP 400, so it's worth matching the docs spelling exactly.
if embeddingConfig != nil && embeddingConfig.Dimension > 0 {
reqBody["output_dimension"] = embeddingConfig.Dimension
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
defer cancel()
req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
resp, err := v.httpClient.Do(req)
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("Voyage embeddings API error: %s, body: %s", resp.Status, string(body))
}
var parsed voyageEmbeddingResponse
if err = json.Unmarshal(body, &parsed); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
// Reorder by the reported index so the output always lines up with
// the input texts. Reject duplicates (silent overwrite would hide
// a malformed response) and out-of-range indices (silent panic on
// slice growth would mask the bug).
embeddings := make([]EmbeddingData, len(texts))
filled := make([]bool, len(texts))
for _, item := range parsed.Data {
if item.Index < 0 || item.Index >= len(texts) {
return nil, fmt.Errorf("voyage: response index %d out of range for %d inputs", item.Index, len(texts))
}
if filled[item.Index] {
return nil, fmt.Errorf("voyage: duplicate embedding index %d in response", item.Index)
}
embeddings[item.Index] = EmbeddingData{
Embedding: item.Embedding,
Index: item.Index,
}
filled[item.Index] = true
}
for i, ok := range filled {
if !ok {
return nil, fmt.Errorf("voyage: missing embedding for input index %d", i)
}
}
return embeddings, nil
}
type voyageRerankRequest struct {
Model string `json:"model"`
Query string `json:"query"`
Documents []string `json:"documents"`
TopK int `json:"top_k"`
}
type voyageRerankResponse struct {
Object string `json:"object"`
Data []struct {
RelevanceScore float64 `json:"relevance_score"`
Index int `json:"index"`
} `json:"data"`
Model string `json:"model"`
}
// Rerank calculates similarity scores between a query and a list of
// documents using Voyage AI's /v1/rerank endpoint. Unlike many other
// rerank APIs that use `top_n`, Voyage uses `top_k` as the request
// parameter; the driver translates RerankConfig.TopN -> top_k.
func (v *VoyageModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) {
if len(documents) == 0 {
return &RerankResponse{}, nil
}
if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
return nil, fmt.Errorf("api key is required")
}
if modelName == nil || *modelName == "" {
return nil, fmt.Errorf("model name is required")
}
region := "default"
if apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
baseURL, err := v.baseURLForRegion(region)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), v.URLSuffix.Rerank)
topK := len(documents)
if rerankConfig != nil && rerankConfig.TopN > 0 {
topK = rerankConfig.TopN
}
reqBody := voyageRerankRequest{
Model: *modelName,
Query: query,
Documents: documents,
TopK: topK,
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
defer cancel()
req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
resp, err := v.httpClient.Do(req)
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("Voyage rerank API error: %s, body: %s", resp.Status, string(body))
}
var parsed voyageRerankResponse
if err = json.Unmarshal(body, &parsed); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
// Match Embed's defensive posture: rerank only returns top_k of
// len(documents) results, but a duplicate index would still be
// a malformed response and should fail loudly.
rerankResponse := &RerankResponse{}
seen := make(map[int]bool, len(parsed.Data))
for _, r := range parsed.Data {
if r.Index < 0 || r.Index >= len(documents) {
return nil, fmt.Errorf("voyage: rerank result index %d out of range for %d documents", r.Index, len(documents))
}
if seen[r.Index] {
return nil, fmt.Errorf("voyage: duplicate rerank index %d in response", r.Index)
}
seen[r.Index] = true
rerankResponse.Data = append(rerankResponse.Data, RerankResult{
Index: r.Index,
RelevanceScore: r.RelevanceScore,
})
}
return rerankResponse, nil
}
// ListModels is not exposed by the Voyage AI API. The docs at
// https://docs.voyageai.com publish embeddings and rerank endpoints
// only; /v1/models is not documented (live-confirmed: 404). The
// shipped catalog lives in conf/models/voyage.json; this driver
// method does not invent a fake one.
func (v *VoyageModel) ListModels(apiConfig *APIConfig) ([]string, error) {
return nil, fmt.Errorf("%s, no such method", v.Name())
}
// CheckConnection is not exposed by the Voyage AI API. With no
// documented /models or /health endpoint, the only way to verify
// credentials is to burn an embedding or rerank call against the
// tenant's quota — which is what this method exists to avoid.
// Return the documented sentinel rather than pretend.
func (v *VoyageModel) CheckConnection(apiConfig *APIConfig) error {
return fmt.Errorf("%s, no such method", v.Name())
}
// ChatWithMessages is not exposed by the Voyage AI API.
func (v *VoyageModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
return nil, fmt.Errorf("%s, no such method", v.Name())
}
func (v *VoyageModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, modelConfig *ChatConfig, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", v.Name())
}
// Balance is not exposed by the Voyage AI API.
func (v *VoyageModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
return nil, fmt.Errorf("%s, no such method", v.Name())
}
// TranscribeAudio / AudioSpeech / OCRFile: Voyage does not host any of
// these surfaces.
func (v *VoyageModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) {
return nil, fmt.Errorf("%s, no such method", v.Name())
}
func (v *VoyageModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", v.Name())
}
func (v *VoyageModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig) (*TTSResponse, error) {
return nil, fmt.Errorf("%s, no such method", v.Name())
}
func (v *VoyageModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", v.Name())
}
func (v *VoyageModel) OCRFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", v.Name())
}
// ParseFile parse file
func (z *VoyageModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", z.Name())
}
func (z *VoyageModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) {
return nil, fmt.Errorf("%s, no such method", z.Name())
}
func (z *VoyageModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
return nil, fmt.Errorf("%s, no such method", z.Name())
}