Azure OpenAI Embedding Models
To use an embedding model hosted on Azure OpenAI, specify the azure path in the from field and the following parameters from the Azure OpenAI Model Deployment page:
7 docs tagged with "Embeddings"
Vector embeddings and semantic similarity operations.
View all tagsEmbedding Models
Describes how embedding models are used in Spice to convert text into numerical vectors for machine learning and search applications.
Hugging Face Embedding Deployment Guide
Operating guide for Hugging Face embeddings in production: tokens, download cache, pooling, device selection, and observability.
Local Embedding Deployment Guide
Operating guide for filesystem-loaded embedding models in production: formats, pooling, device selection, and observability.
Multi-Vector Search
Embed list-of-strings columns as a column of vectors and use ColBERT-style late-interaction search in Spice.
OpenAI Embedding Deployment Guide
Operating guide for the OpenAI embedding provider in production: API keys, usage tiers, batching, retries, metrics, and observability.
Vector-Based Search
Learn how Spice can perform searches using vector-based methods.
