Embedding developer tools
Every listing tagged embeddings, A to Z: 9 tools across 1 category. Listed in alphabetical order, not ranked.
Amazon Titan Text Embeddings
Amazon's text embedding models on Bedrock: Titan Text Embeddings V2 takes up to 8,192 tokens and returns 1,024, 512 or 256 dimensions, with batch at half price. Nova Multimodal Embeddings sits in the same account for more than text.
Cohere Embed
Cohere's embedding API: Embed v5 Pro and Fast share one embedding space, so you can index with Pro and query with Fast. Text, images and PDFs in 100+ languages, 128K context, and vectors from 256 to 2,048 dimensions as float, int8 or binary. Free trial keys, rate limited.
DeepInfra
OpenAI-compatible API for open models such as Llama, DeepSeek and Qwen, billed per token with Standard, Priority and Flex tiers. Also open text-to-speech models such as Kokoro, billed per character, open embedding models such as Qwen3-Embedding and bge-m3, FLUX image generation models billed per image, and dedicated GPUs for your own LLMs billed by the minute.
Fireworks AI
Inference platform for open models: per-token serverless with Standard, Priority and Fast modes, batch at half the serverless price, on-demand GPUs billed per second, and LoRA or full fine-tuning (SFT, DPO) with tuned models served at the base price. Serverless embedding models too, from Qwen3 Embedding 8B to small BERT-size models. OpenAI-compatible.
Gemini Embedding
Google's embedding models on the Gemini API: gemini-embedding-2 maps text, images, video, audio and documents into one embedding space, and gemini-embedding-001 handles text, with a cheaper batch price. Free tier for testing.
Jina AI Embeddings
Jina's embedding API: jina-embeddings-v5 text and omni models in small (32K context) and nano (8K) sizes, plus code embedding models, behind an OpenAI-compatible endpoint. Weights are on Hugging Face under CC BY-NC 4.0; commercial self-hosting is licensed through Elastic.
Mistral Embed
Mistral's embedding models on the Mistral API: mistral-embed for text with 8K context, and codestral-embed for code. Cached input costs a tenth of the normal price, and codestral-embed is half price in batch.
OpenAI Embeddings
OpenAI's embeddings endpoint: text-embedding-3-small returns 1,536 dimensions and text-embedding-3-large 3,072, and both can be shortened with the dimensions parameter. text-embedding-ada-002 is the older model. Billed per token on your OpenAI key.
Voyage AI
Embedding models for retrieval: voyage-4-large, voyage-4 and voyage-4-lite for text, plus code, contextual-chunk and multimodal models. The first 200M tokens are free and batch is 33% off. voyage-4-nano has open weights under Apache-2.0.