Embedding Models
Embedding models are machine learning algorithms that convert text, images, audio, and other data into numerical vector representations that capture semantic meaning and relationships for AI applications like search, recommendations, and classification.
Related Technologies
Competition
openai embeddings
Direct competitors
cohere
Direct competitors
google vertex ai
Direct competitors
sentence transformers
Can replace or substitute
huggingface
Can replace or substitute
voyage ai
Direct competitors
jina ai
Direct competitors
mistral ai
Direct competitors
Integration
langchain
Official integration support
llamaindex
Official integration support
pinecone
Official integration support
weaviate
Official integration support
qdrant
Official integration support
chroma
Official integration support
ollama
Works well together
opensearch
Official integration support
elasticsearch
Official integration support
Dependencies
pytorch
Requires for operation
transformers
Requires for operation
aws bedrock
Enables other tools
azure openai
Enables other tools
vertex ai
Enables other tools
sentence transformers
Requires for operation