Embedding Models
Once your input documents have been processed, they will go through a Embedding Model to convert them into vectors. We support a variety of embedding models that you can choose from:
📄️ OpenAI Embedding
Embed data using OpenAI's API.
📄️ Azure Embedding
Embed data using Azure's API.
📄️ Cohere Embedding
Embed data using Cohere's API.
📄️ Gemini Embedding
Embed data using Gemini's API.
📄️ Bedrock Embedding
Embed data using AWS Bedrock's API.
📄️ HuggingFace Embedding
Embed data using HuggingFace's Inference API.
Now that you've set up an Index end-to-end, you're ready to start retrieving relevant context from your data ➡️