| Example | Description |
|---|---|
| AWS Bedrock Embedder | Demonstrates Cohere v3 embeddings through AWS Bedrock and knowledge insertion. |
| Azure OpenAI Embedder | Demonstrates Azure OpenAI embeddings and knowledge insertion, including a batching variant. |
| Cohere Embedder | Demonstrates Cohere embeddings and knowledge insertion, including a batching variant. |
| Fireworks Embedder | Demonstrates Fireworks embeddings and knowledge insertion, including a batching variant. |
| Gemini Embedder | Demonstrates Gemini embeddings and knowledge insertion, including a batching variant. |
| Hugging Face Embedder | Demonstrates Hugging Face custom embeddings and knowledge insertion. |
| Jina Embedder | Demonstrates Jina embeddings, usage metadata retrieval, and a batching variant. |
| LangDB Embedder | Demonstrates LangDB embeddings and knowledge insertion. |
| Mistral Embedder | Demonstrates Mistral embeddings and knowledge insertion, including a batching variant. |
| Nebius Embedder | Demonstrates Nebius embeddings and knowledge insertion. |
| Ollama Embedder | Demonstrates Ollama embeddings and knowledge insertion. |
| OpenAI Embedder | Demonstrates OpenAI embeddings and knowledge insertion, including a batching variant. |
| FastEmbed Embedder | Demonstrates FastEmbed embeddings and knowledge insertion. |
| Sentence Transformer Embedder | Demonstrates sentence-transformer embeddings and knowledge insertion. |
| Together Embedder | Demonstrates Together embeddings and knowledge insertion. |
| VoyageAI Embedder | Demonstrates VoyageAI embeddings and knowledge insertion, including a batching variant. |
| AWS Bedrock Embedder v4 | Demonstrates Cohere v4 embeddings on AWS Bedrock with configurable dimensions. |
| vLLM Local Embedder | Demonstrates local vLLM embeddings and knowledge insertion with standard and batching modes. |
| vLLM Remote Embedder | Demonstrates remote vLLM embeddings and knowledge insertion with optional batching. |
Embedders
Embedders
Embedders convert text into vector representations for semantic search and knowledge retrieval. Agno supports multiple embedding providers to fit different deployment needs.