DeepSearcher supports various embedding models to convert text into vector representations for semantic search.
config.set_provider_config("embedding", "(EmbeddingModelName)", "(Arguments dict)")| Provider | Description | Key Features |
|---|---|---|
| OpenAIEmbedding | OpenAI's text embedding models | High quality, production-ready |
| MilvusEmbedding | Built-in embedding models via Pymilvus | Multiple model options |
| VoyageEmbedding | VoyageAI embedding models | Specialized for search |
| BedrockEmbedding | Amazon Bedrock embedding | AWS integration |
| GeminiEmbedding | Google's Gemini embedding | High performance |
| GLMEmbedding | ChatGLM embeddings | Chinese language support |
| OllamaEmbedding | Local embedding with Ollama | Self-hosted option |
| PPIOEmbedding | PPIO cloud embedding | Scalable solution |
| SiliconflowEmbedding | Siliconflow's models | Enterprise support |
| VolcengineEmbedding | Volcengine embedding | High throughput |
| NovitaEmbedding | Novita AI embedding | Cost-effective |
| SentenceTransformerEmbedding | Sentence Transfomer Embedding | Self-hosted option |
| IBM watsonx.ai | Various options | IBM's Enterprise AI platform |
| JiekouAIEmbedding | Jiekou.AI embedding | High quality, cost-effective |
config.set_provider_config("embedding", "OpenAIEmbedding", {"model": "text-embedding-3-small"})Requires OPENAI_API_KEY environment variable
config.set_provider_config("embedding", "MilvusEmbedding", {"model": "BAAI/bge-base-en-v1.5"})config.set_provider_config("embedding", "MilvusEmbedding", {"model": "jina-embeddings-v3"})For Jina's embedding model, requires JINAAI_API_KEY environment variable
config.set_provider_config("embedding", "VoyageEmbedding", {"model": "voyage-3"})Requires VOYAGE_API_KEY environment variable and pip install voyageai
??? example "Amazon Bedrock"
```python
config.set_provider_config("embedding", "BedrockEmbedding", {"model": "amazon.titan-embed-text-v2:0"})
```
*Requires `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY` environment variables and `pip install boto3`*
??? example "Novita AI"
```python
config.set_provider_config("embedding", "NovitaEmbedding", {"model": "baai/bge-m3"})
```
*Requires `NOVITA_API_KEY` environment variable*
??? example "Siliconflow"
```python
config.set_provider_config("embedding", "SiliconflowEmbedding", {"model": "BAAI/bge-m3"})
```
*Requires `SILICONFLOW_API_KEY` environment variable*
??? example "Volcengine"
```python
config.set_provider_config("embedding", "VolcengineEmbedding", {"model": "doubao-embedding-text-240515"})
```
*Requires `VOLCENGINE_API_KEY` environment variable*
??? example "GLM"
```python
config.set_provider_config("embedding", "GLMEmbedding", {"model": "embedding-3"})
```
*Requires `GLM_API_KEY` environment variable and `pip install zhipuai`*
??? example "Google Gemini"
```python
config.set_provider_config("embedding", "GeminiEmbedding", {"model": "text-embedding-004"})
```
*Requires `GEMINI_API_KEY` environment variable and `pip install google-genai`*
??? example "Ollama"
```python
config.set_provider_config("embedding", "OllamaEmbedding", {"model": "bge-m3"})
```
*Requires local Ollama installation and `pip install ollama`*
??? example "PPIO"
```python
config.set_provider_config("embedding", "PPIOEmbedding", {"model": "baai/bge-m3"})
```
*Requires `PPIO_API_KEY` environment variable*
??? example "SentenceTransformer"
```python
config.set_provider_config("embedding", "SentenceTransformerEmbedding", {"model": "BAAI/bge-large-zh-v1.5"})
```
*Requires `pip install sentence-transformers`*
??? example "IBM WatsonX"
```python
config.set_provider_config("embedding", "WatsonXEmbedding", {"model": "ibm/slate-125m-english-rtrvr-v2"})
```
*Requires `pip install ibm-watsonx-ai`*
??? example "Jiekou.AI"
```python
config.set_provider_config("embedding", "JiekouAIEmbedding", {"model": "qwen/qwen3-embedding-8b"})
```
*Requires `JIEKOU_API_KEY` environment variable*