mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-06-08 08:07:21 +08:00
### 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
390 lines
13 KiB
Go
390 lines
13 KiB
Go
//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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package models
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import (
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"strings"
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"time"
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)
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// VoyageModel implements ModelDriver for Voyage AI.
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//
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// Voyage AI exposes a focused REST API at https://api.voyageai.com/v1
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// with embedding (/embeddings) and reranking (/rerank) only — no chat,
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// no streaming, no /v1/models, no balance. This driver covers Embed
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// and Rerank with real implementations and returns "no such method"
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// for every other ModelDriver method.
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//
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// Wire shape, captured live:
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//
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// Embed response: {object, data:[{object,embedding,index,text}], model, usage}
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// Rerank response: {object, data:[{relevance_score,index}], model, usage}
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//
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// Rerank uses top_k as the request param name (not top_n like
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// Aliyun/SiliconFlow); the driver translates RerankConfig.TopN to
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// top_k on the wire.
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type VoyageModel struct {
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BaseURL map[string]string
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URLSuffix URLSuffix
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httpClient *http.Client
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}
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// NewVoyageModel creates a new Voyage AI model instance.
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//
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// We clone http.DefaultTransport so we keep Go's defaults for
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// ProxyFromEnvironment, DialContext (with KeepAlive), HTTP/2,
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// TLSHandshakeTimeout, and ExpectContinueTimeout, and only override
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// the connection-pool fields we care about.
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func NewVoyageModel(baseURL map[string]string, urlSuffix URLSuffix) *VoyageModel {
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transport := http.DefaultTransport.(*http.Transport).Clone()
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transport.MaxIdleConns = 100
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transport.MaxIdleConnsPerHost = 10
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transport.IdleConnTimeout = 90 * time.Second
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transport.DisableCompression = false
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transport.ResponseHeaderTimeout = 60 * time.Second
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return &VoyageModel{
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BaseURL: baseURL,
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URLSuffix: urlSuffix,
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httpClient: &http.Client{
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Transport: transport,
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},
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}
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}
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func (v *VoyageModel) NewInstance(baseURL map[string]string) ModelDriver {
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return NewVoyageModel(baseURL, v.URLSuffix)
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}
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func (v *VoyageModel) Name() string {
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return "voyage"
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}
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// baseURLForRegion returns the base URL for the given region, or an
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// error if no entry exists. Single-region for Voyage but kept here
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// for consistency with other drivers.
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func (v *VoyageModel) baseURLForRegion(region string) (string, error) {
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base, ok := v.BaseURL[region]
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if !ok || base == "" {
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return "", fmt.Errorf("voyage: no base URL configured for region %q", region)
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}
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return base, nil
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}
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type voyageEmbeddingData struct {
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Embedding []float64 `json:"embedding"`
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Object string `json:"object"`
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Index int `json:"index"`
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}
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type voyageEmbeddingResponse struct {
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Object string `json:"object"`
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Data []voyageEmbeddingData `json:"data"`
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Model string `json:"model"`
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}
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// Embed turns a list of texts into embedding vectors using the
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// Voyage AI /v1/embeddings endpoint. Output is one vector per input,
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// in the same order the inputs were given.
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func (v *VoyageModel) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) {
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if len(texts) == 0 {
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return []EmbeddingData{}, nil
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}
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if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
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return nil, fmt.Errorf("api key is required")
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}
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if modelName == nil || *modelName == "" {
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return nil, fmt.Errorf("model name is required")
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}
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region := "default"
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if apiConfig.Region != nil && *apiConfig.Region != "" {
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region = *apiConfig.Region
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}
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baseURL, err := v.baseURLForRegion(region)
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if err != nil {
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return nil, err
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}
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url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), v.URLSuffix.Embedding)
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reqBody := map[string]interface{}{
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"model": *modelName,
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"input": texts,
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}
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// Voyage's Matryoshka models (voyage-3.5, voyage-3.5-lite,
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// voyage-3-large, voyage-code-3) accept output_dimension to
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// truncate the vector. The wire param is output_dimension
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// (singular) per https://docs.voyageai.com/reference/embeddings-api;
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// passing "dimensions" or "output_dimensions" gets rejected with
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// HTTP 400, so it's worth matching the docs spelling exactly.
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if embeddingConfig != nil && embeddingConfig.Dimension > 0 {
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reqBody["output_dimension"] = embeddingConfig.Dimension
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}
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jsonData, err := json.Marshal(reqBody)
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if err != nil {
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return nil, fmt.Errorf("failed to marshal request: %w", err)
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}
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ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
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defer cancel()
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req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
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if err != nil {
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return nil, fmt.Errorf("failed to create request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
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resp, err := v.httpClient.Do(req)
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if err != nil {
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return nil, fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, fmt.Errorf("failed to read response: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("Voyage embeddings API error: %s, body: %s", resp.Status, string(body))
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}
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var parsed voyageEmbeddingResponse
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if err = json.Unmarshal(body, &parsed); err != nil {
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return nil, fmt.Errorf("failed to parse response: %w", err)
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}
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// Reorder by the reported index so the output always lines up with
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// the input texts. Reject duplicates (silent overwrite would hide
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// a malformed response) and out-of-range indices (silent panic on
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// slice growth would mask the bug).
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embeddings := make([]EmbeddingData, len(texts))
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filled := make([]bool, len(texts))
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for _, item := range parsed.Data {
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if item.Index < 0 || item.Index >= len(texts) {
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return nil, fmt.Errorf("voyage: response index %d out of range for %d inputs", item.Index, len(texts))
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}
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if filled[item.Index] {
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return nil, fmt.Errorf("voyage: duplicate embedding index %d in response", item.Index)
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}
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embeddings[item.Index] = EmbeddingData{
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Embedding: item.Embedding,
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Index: item.Index,
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}
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filled[item.Index] = true
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}
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for i, ok := range filled {
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if !ok {
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return nil, fmt.Errorf("voyage: missing embedding for input index %d", i)
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}
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}
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return embeddings, nil
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}
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type voyageRerankRequest struct {
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Model string `json:"model"`
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Query string `json:"query"`
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Documents []string `json:"documents"`
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TopK int `json:"top_k"`
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}
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type voyageRerankResponse struct {
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Object string `json:"object"`
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Data []struct {
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RelevanceScore float64 `json:"relevance_score"`
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Index int `json:"index"`
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} `json:"data"`
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Model string `json:"model"`
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}
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// Rerank calculates similarity scores between a query and a list of
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// documents using Voyage AI's /v1/rerank endpoint. Unlike many other
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// rerank APIs that use `top_n`, Voyage uses `top_k` as the request
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// parameter; the driver translates RerankConfig.TopN -> top_k.
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func (v *VoyageModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) {
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if len(documents) == 0 {
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return &RerankResponse{}, nil
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}
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if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
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return nil, fmt.Errorf("api key is required")
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}
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if modelName == nil || *modelName == "" {
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return nil, fmt.Errorf("model name is required")
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}
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region := "default"
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if apiConfig.Region != nil && *apiConfig.Region != "" {
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region = *apiConfig.Region
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}
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baseURL, err := v.baseURLForRegion(region)
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if err != nil {
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return nil, err
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}
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url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), v.URLSuffix.Rerank)
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topK := len(documents)
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if rerankConfig != nil && rerankConfig.TopN > 0 {
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topK = rerankConfig.TopN
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}
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reqBody := voyageRerankRequest{
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Model: *modelName,
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Query: query,
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Documents: documents,
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TopK: topK,
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}
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jsonData, err := json.Marshal(reqBody)
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if err != nil {
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return nil, fmt.Errorf("failed to marshal request: %w", err)
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}
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ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
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defer cancel()
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req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
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if err != nil {
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return nil, fmt.Errorf("failed to create request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
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resp, err := v.httpClient.Do(req)
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if err != nil {
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return nil, fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, fmt.Errorf("failed to read response: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("Voyage rerank API error: %s, body: %s", resp.Status, string(body))
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}
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var parsed voyageRerankResponse
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if err = json.Unmarshal(body, &parsed); err != nil {
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return nil, fmt.Errorf("failed to parse response: %w", err)
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}
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// Match Embed's defensive posture: rerank only returns top_k of
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// len(documents) results, but a duplicate index would still be
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// a malformed response and should fail loudly.
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rerankResponse := &RerankResponse{}
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seen := make(map[int]bool, len(parsed.Data))
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for _, r := range parsed.Data {
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if r.Index < 0 || r.Index >= len(documents) {
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return nil, fmt.Errorf("voyage: rerank result index %d out of range for %d documents", r.Index, len(documents))
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}
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if seen[r.Index] {
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return nil, fmt.Errorf("voyage: duplicate rerank index %d in response", r.Index)
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}
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seen[r.Index] = true
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rerankResponse.Data = append(rerankResponse.Data, RerankResult{
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Index: r.Index,
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RelevanceScore: r.RelevanceScore,
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})
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}
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return rerankResponse, nil
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}
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// ListModels is not exposed by the Voyage AI API. The docs at
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// https://docs.voyageai.com publish embeddings and rerank endpoints
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// only; /v1/models is not documented (live-confirmed: 404). The
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// shipped catalog lives in conf/models/voyage.json; this driver
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// method does not invent a fake one.
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func (v *VoyageModel) ListModels(apiConfig *APIConfig) ([]string, error) {
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return nil, fmt.Errorf("%s, no such method", v.Name())
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}
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// CheckConnection is not exposed by the Voyage AI API. With no
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// documented /models or /health endpoint, the only way to verify
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// credentials is to burn an embedding or rerank call against the
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// tenant's quota — which is what this method exists to avoid.
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// Return the documented sentinel rather than pretend.
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func (v *VoyageModel) CheckConnection(apiConfig *APIConfig) error {
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return fmt.Errorf("%s, no such method", v.Name())
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}
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// ChatWithMessages is not exposed by the Voyage AI API.
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func (v *VoyageModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
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return nil, fmt.Errorf("%s, no such method", v.Name())
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}
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func (v *VoyageModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, modelConfig *ChatConfig, sender func(*string, *string) error) error {
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return fmt.Errorf("%s, no such method", v.Name())
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}
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// Balance is not exposed by the Voyage AI API.
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func (v *VoyageModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
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return nil, fmt.Errorf("%s, no such method", v.Name())
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}
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// TranscribeAudio / AudioSpeech / OCRFile: Voyage does not host any of
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// these surfaces.
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func (v *VoyageModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) {
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return nil, fmt.Errorf("%s, no such method", v.Name())
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}
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func (v *VoyageModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error {
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return fmt.Errorf("%s, no such method", v.Name())
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}
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func (v *VoyageModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig) (*TTSResponse, error) {
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return nil, fmt.Errorf("%s, no such method", v.Name())
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}
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func (v *VoyageModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error {
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return fmt.Errorf("%s, no such method", v.Name())
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}
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func (v *VoyageModel) OCRFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) {
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return nil, fmt.Errorf("%s, no such method", v.Name())
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}
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// ParseFile parse file
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func (z *VoyageModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) {
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return nil, fmt.Errorf("%s, no such method", z.Name())
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}
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func (z *VoyageModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) {
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return nil, fmt.Errorf("%s, no such method", z.Name())
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}
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func (z *VoyageModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
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return nil, fmt.Errorf("%s, no such method", z.Name())
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}
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