Embedding Model APIs and Services | Parse

Embedding Model APIs and Services in AI answers

Data as of Oct 18, 2026Based on 361 AI responsesReviewed by Dimitry Apollonsky

AI summary

Voyage AI holds a narrow lead over OpenAI, earning frequent recommendations for domain-specific retrieval, high-accuracy RAG pipelines, and code search. Pinecone serves as the usual answer when buyers seek managed enterprise infrastructure for vector data.

Most-mentioned brands

Rank and Mentioned in · since Jul 5

#	Brand	Recommended for	Mentioned in
1	Voyage AI 55% specialized domain retrieval, technical documentation, and high-accuracy RAG pipelines	specialized domain retrieval, technical documentation, and high-accuracy RAG pipelines	55%
2	OpenAI 49% high-dimensional semantic matching, rapid prototyping, and balanced general-purpose embedding workloads	high-dimensional semantic matching, rapid prototyping, and balanced general-purpose embedding workloads	49%
3	Cohere · cohere.io 39% multilingual search, multimodal embeddings, and retrieval tasks requiring large contexts	multilingual search, multimodal embeddings, and retrieval tasks requiring large contexts	39%
4	Google Cloud Gemini Enterprise Agent PlatformAlphabet product line 28% multilingual enterprise deployments integrated into the Google Cloud ecosystem	multilingual enterprise deployments integrated into the Google Cloud ecosystem	28%
5	Cohere · cohere.com 23% multilingual search, multimodal embeddings, and retrieval tasks requiring large contexts	multilingual search, multimodal embeddings, and retrieval tasks requiring large contexts	23%
6	Pinecone 21% fully managed, serverless vector infrastructure for enterprise production deployments	fully managed, serverless vector infrastructure for enterprise production deployments	21%
7	Jina AI 21% long-document embeddings and applications requiring large context windows	long-document embeddings and applications requiring large context windows	21%
8	Amazon BedrockAmazon product line 17% managed serverless embedding APIs for AWS-native enterprise environments	managed serverless embedding APIs for AWS-native enterprise environments	17%
9	BAAI BGE-M3 16% open-source multilingual retrieval supporting hybrid, dense, and sparse search	open-source multilingual retrieval supporting hybrid, dense, and sparse search	16%
10	Qwen3-Embedding 15% cost-effective, open-source multilingual embedding generation with strong retrieval value	cost-effective, open-source multilingual embedding generation with strong retrieval value	15%
11	OpenAI EmbeddingsOpenAI product line 13%		13%
12	MTEB (Massive Text Embedding Benchmark)12%		12%
13	BGE-M3 12%		12%
14	Cohere EmbedCohere product line 11%		11%
15	Ragas 10%		10%
16	Azure OpenAI ServiceMicrosoft product line 9%		9%
17	Nomic EmbedNomic product line 9%		9%
18	Azure AI SearchMicrosoft product line 9%		9%
19	Qdrant 9%		9%
20	QwenOwned by Alibaba Group 9%		9%
21	Sentence-Transformers 9%		9%
22	GeminiAlphabet product line 9%		9%
23	Nomic 8%		8%
24	AWSAmazon product line 7%		7%
25	Google Cloud PlatformAlphabet product line 7%		7%
26	sentence-transformers/all-MiniLM-L6-v2 7%		7%
27	Weaviate 7%		7%
28	Microsoft AzureMicrosoft product line 6%		6%
29	Milvus 5%		5%
30	Amazon TitanAmazon product line 5%		5%
31	ZeroEntropy 4%		4%
32	Google Gemini 4%		4%
33	OpenAI APIOpenAI product line 4%		4%
34	BEIR 4%		4%
35	Beijing Academy of Artificial Intelligence 4%		4%
36	Isaacus 4%		4%
37	DeepEval 4%		4%
38	Google Multimodal Embeddings APIAlphabet product line 4%		4%
39	pgvector 4%		4%
40	Google CloudAlphabet product line 3%		3%
41	Nomic Embed Text v1 3%		3%
42	Weaviate CloudWeaviate product line 3%		3%
43	BAAI/bge-large-en-v1.5 3%		3%
44	OpenAI PlatformOpenAI product line 3%		3%
45	Multilingual E5 Large 3%		3%
46	Vectara 3%		3%
47	Hugging Face HubHugging Face product line 3%		3%
48	DeepMind GemmaAlphabet product line 2%		2%
49	Zilliz 2%		2%
50	Mejurix Inc.2%		2%
51	Qdrant CloudQdrant product line 2%		2%
52	MedEmbed 2%		2%
53	BAAI 2%		2%
54	Databricks 2%		2%
55	Snowflake 2%		2%
56	LangSmithLangChain product line 2%		2%
57	Microsoft FoundryMicrosoft product line 2%		2%
58	TruLens 2%		2%
59	John Snow Labs 2%		2%
60	LangChain 2%		2%
61	OpenSearch 2%		2%
62	intfloat/e5-small-v2 2%		2%
63	Arize PhoenixArize AI product line 2%		2%
64	Amazon OpenSearch ServiceAmazon product line 2%		2%
65	Zilliz CloudZilliz product line 2%		2%
66	Mistral 2%		2%
67	text-embeddings-inference · github.com 2%		2%
68	NVIDIA 2%		2%
69	BioBERT 2%		2%
70	vLLM 2%		2%
71	ElasticsearchElastic product line 2%		2%
72	PostgreSQL 2%		2%
73	BGE-Base-v1.5 1%		1%
74	ranx 1%		1%
75	Azure AI Foundry 1%		1%
76	Hugging Face 1%		1%
77	Ollama 1%		1%
78	Microsoft 1%		1%
79	Together AI 1%		1%
80	LegalBERT 1%		1%
81	Azure AI Foundry Prompt FlowMicrosoft product line 1%		1%
82	Google Cloud AIAlphabet product line 1%		1%
83	NVIDIA NV-EmbedNVIDIA product line 1%		1%
84	Mongodb 1%		1%
85	Azure AIMicrosoft product line 1%		1%
86	MLflow 1%		1%
87	Snowflake CortexSnowflake product line 1%		1%
88	Scikit-learn 1%		1%
89	Cohere RerankCohere product line 1%		1%
90	E5-mistral-7b-instruct 1%		1%
91	Text Embeddings Inference · huggingface.coHugging Face product line 1%		1%
92	Hugging Face Inference EndpointsHugging Face product line 1%		1%
93	Weaviate Docs 1%		1%
94	Databricks Data Intelligence PlatformDatabricks product line 1%		1%
95	GTE-large 1%		1%
96	MongoDB Atlas Vector SearchMongodb product line 1%		1%
97	Harvey 1%		1%
98	DataStax Astra DBDatastax product line 1%		1%
99	MXBAI Embed Large v1 1%		1%
100	Openlayer 1%		1%

Recommendations by AI engine

ChatGPT SearchGoogle AI Mode

Widest split: Cohere, 18% on ChatGPT Search and 27% on Google AI Mode.

Mentioned in on each AI engine, by brand
Brand	ChatGPT Search	Google AI Mode
Voyage AI	54%	56%
OpenAI	45%	53%
Cohere	41%	37%
Google Cloud Gemini Enterprise Agent Platform	24%	32%
Cohere	18%	27%
Pinecone	19%	22%
Jina AI	22%	19%
Amazon Bedrock	20%	13%
BAAI BGE-M3	17%	15%
Qwen3-Embedding	17%	12%

Questions by topic3

Managed embedding apis
- What’s the best managed embeddings service for enterprise data?
- What are the top options for managed embedding services when working with enterprise data?
- What are the most performant enterprise embedding services for high-dimensional semantic matching? Our startup requires a reliable, high-dimensional vector solution.
- I'm looking for a simple way to create high-quality embeddings. What is the best embedding model API for my use case?
- My team is migrating away from local models and needs a managed embedding API that offers consistent performance across multiple regions. Which global embedding service providers should we consider?
- Our startup needs an embedding service that provides high-dimensional vector support for complex semantic matching. Which enterprise-grade embedding providers offer the most performant options for high-dimensional data?
- We are building a RAG pipeline and need a reliable managed embedding API that offers stable latency for real-time search. Which third-party embedding providers are currently leading the market for production-grade applications?
Multilingual embedding generation
- I need to generate text embeddings that support multiple languages. Which embedding model APIs are best for handling multilingual data?
- I need to find an API for generating embeddings that works well with multilingual datasets. Can you suggest some reliable services?
- We need to build a pipeline for multilingual embedding generation. Can you recommend some APIs that handle multiple languages effectively?
Open-source embedding models
- The problem is, our embedding API costs are too high. What's the best open-source embedding model that is fast and performs well?

We need to perform domain-specific search and are looking for embedding providers that offer specialized models for medical or legal documentation. Which vendors offer domain-tuned embedding APIs?
My goal is to automatically evaluate different embedding models for our specific domain. What's the best embedding model evaluation framework?

Questions by topic3

Managed embedding apis
- What’s the best managed embeddings service for enterprise data?
- What are the top options for managed embedding services when working with enterprise data?
- What are the most performant enterprise embedding services for high-dimensional semantic matching? Our startup requires a reliable, high-dimensional vector solution.
- I'm looking for a simple way to create high-quality embeddings. What is the best embedding model API for my use case?
- My team is migrating away from local models and needs a managed embedding API that offers consistent performance across multiple regions. Which global embedding service providers should we consider?
- Our startup needs an embedding service that provides high-dimensional vector support for complex semantic matching. Which enterprise-grade embedding providers offer the most performant options for high-dimensional data?
- We are building a RAG pipeline and need a reliable managed embedding API that offers stable latency for real-time search. Which third-party embedding providers are currently leading the market for production-grade applications?
Multilingual embedding generation
- I need to generate text embeddings that support multiple languages. Which embedding model APIs are best for handling multilingual data?
- I need to find an API for generating embeddings that works well with multilingual datasets. Can you suggest some reliable services?
- We need to build a pipeline for multilingual embedding generation. Can you recommend some APIs that handle multiple languages effectively?
Open-source embedding models
- The problem is, our embedding API costs are too high. What's the best open-source embedding model that is fast and performs well?

We need to perform domain-specific search and are looking for embedding providers that offer specialized models for medical or legal documentation. Which vendors offer domain-tuned embedding APIs?
My goal is to automatically evaluate different embedding models for our specific domain. What's the best embedding model evaluation framework?

Embedding Model APIs and Services in AI answers

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Developer Backend & Vector Search Services

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Developer Backend & Vector Search Services

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