BB
open embedding models
open embedding modelsBAAI BGE
BAAI
BAAI BGE is a Embeddings and rerank product from BAAI, focused on open embedding models with tags such as Embedding, Open source, China ecosystem.
Embeddings and rerank
BR
open embedding model
open embedding modelBGE Reranker v2 M3
BAAI
BGE Reranker v2 M3 is a Embeddings and rerank product from BAAI, focused on open embedding model with tags such as Embedding, Open source, China ecosystem.
BM
open embedding model
open embedding modelBGE-M3
BAAI
BGE-M3 is a Embeddings and rerank product from BAAI, focused on open embedding model with tags such as Embedding, Open source, China ecosystem.
CO
rerank and retrieval
rerank and retrievalColBERT
Stanford FutureData
ColBERT is a Embeddings and rerank product from Stanford FutureData, focused on rerank and retrieval with tags such as Embedding, Rerank, Open source.
EV
official model
official modelEmbed v4
Cohere
Embed v4 is a Foundation models product from Cohere, focused on official model with tags such as Foundation model, API, Embedding.
FL
open retrieval stack
open retrieval stackFlagEmbedding
FlagOpen
FlagEmbedding is a Embeddings and rerank product from FlagOpen, focused on open retrieval stack with tags such as Embedding, Rerank, Open source.
GE
open model
open modelGranite Embedding 278M
IBM
Granite Embedding 278M is a Foundation models product from IBM, focused on open model with tags such as Foundation model, Open source, Embedding.
GL
embedding model
embedding modelGTE Large EN v1.5
Alibaba NLP
GTE Large EN v1.5 is a Embeddings and rerank product from Alibaba NLP, focused on embedding model with tags such as Embedding, Open source, China ecosystem.
GQ
embedding model
embedding modelGTE Qwen2 7B
Alibaba NLP
GTE Qwen2 7B is a Embeddings and rerank product from Alibaba NLP, focused on embedding model with tags such as Embedding, Open source, China ecosystem.
IN
local embedding service
local embedding serviceInfinity
Infinity
Infinity is a Embeddings and rerank product from Infinity, focused on local embedding service with tags such as Embedding, Open source.
JC
retrieval model
retrieval modelJina ColBERT v2
Jina AI
Jina ColBERT v2 is a Embeddings and rerank product from Jina AI, focused on retrieval model with tags such as API, Rerank.
JE
retrieval embeddings
retrieval embeddingsJina Embeddings
Jina AI
Jina Embeddings is a Embeddings and rerank product from Jina AI, focused on retrieval embeddings with tags such as Embedding, Rerank, API.
JE
retrieval model
retrieval modelJina Embeddings v4
Jina AI
Jina Embeddings v4 is a Embeddings and rerank product from Jina AI, focused on retrieval model with tags such as API, Embedding.
MA
retrieval and rerank
retrieval and rerankMixedbread AI
Mixedbread
Mixedbread AI is a Embeddings and rerank product from Mixedbread, focused on retrieval and rerank with tags such as Embedding, Rerank, API.
ML
embedding model
embedding modelMixedbread Large
Mixedbread
Mixedbread Large is a Embeddings and rerank product from Mixedbread, focused on embedding model with tags such as Embedding, API.
NE
open embedding service
open embedding serviceNomic Embed
Nomic
Nomic Embed is a Embeddings and rerank product from Nomic, focused on open embedding service with tags such as Embedding, Open source.
NE
embedding model
embedding modelNomic Embed Text v2
Nomic AI
Nomic Embed Text v2 is a Embeddings and rerank product from Nomic AI, focused on embedding model with tags such as Embedding, Open source.
QE
open model
open modelQwen3 Embedding 8B
阿里通义
Qwen3 Embedding 8B is a Foundation models product from 阿里通义, focused on open model with tags such as Foundation model, China ecosystem, Open source.
ST
classic embedding library
classic embedding librarySentence Transformers
UKPLab
Sentence Transformers is a Embeddings and rerank product from UKPLab, focused on classic embedding library with tags such as Embedding, Open source.
SA
embedding model
embedding modelSnowflake Arctic Embed 2
Snowflake
Snowflake Arctic Embed 2 is a Embeddings and rerank product from Snowflake, focused on embedding model with tags such as Embedding, Open source.
SE
embedding model
embedding modelStella EN 1.5B
NovaSearch
Stella EN 1.5B is a Embeddings and rerank product from NovaSearch, focused on embedding model with tags such as Embedding, Open source.
TE
embedding inference
embedding inferenceText Embeddings Inference
Hugging Face
Text Embeddings Inference is a Embeddings and rerank product from Hugging Face, focused on embedding inference with tags such as Embedding, Open source.
TE
official model
official modeltext-embedding-004
Google DeepMind
text-embedding-004 is a Foundation models product from Google DeepMind, focused on official model with tags such as Foundation model, API, Embedding.
TE
official model
official modeltext-embedding-3-large
OpenAI
text-embedding-3-large is a Foundation models product from OpenAI, focused on official model with tags such as Foundation model, API, Embedding.
TE
official model
official modeltext-embedding-3-small
OpenAI
text-embedding-3-small is a Foundation models product from OpenAI, focused on official model with tags such as Foundation model, API, Embedding.
V3
embedding model
embedding modelVoyage 3 Large
Voyage AI
Voyage 3 Large is a Embeddings and rerank product from Voyage AI, focused on embedding model with tags such as Embedding, API.
V3
embedding model
embedding modelVoyage 3.5
Voyage AI
Voyage 3.5 is a Embeddings and rerank product from Voyage AI, focused on embedding model with tags such as Embedding, API.
VA
embedding API
embedding APIVoyage AI
Voyage AI
Voyage AI is a Embeddings and rerank product from Voyage AI, focused on embedding API with tags such as Embedding, API.
VC
embedding model
embedding modelVoyage Code 3
Voyage AI
Voyage Code 3 is a Embeddings and rerank product from Voyage AI, focused on embedding model with tags such as Embedding, API.
How to choose Embeddings and rerank
- Confirm whether the need is retrieval or reranking first because they are not the same model type.
- Chinese retrieval should be tested on Chinese corpora instead of relying on English benchmarks.
- From an engineering view, start with vector dimension, throughput, pricing, and batch APIs.
- If replacing an existing setup, then evaluate reindexing cost and compatibility with the current retrieval stack.
What matters first on Embeddings and rerank category pages?
Start with official access, pricing model, API support, open/closed status, and common use cases.