fireworks-ai

Introducing Fireworks AI-Embedding-Models/Fireworks-AI-Embedding-150M-To-350M: Enhancing Your AI Capabilities

Tal Peretz

— 1 min read
Introducing Fireworks AI-Embedding-Models/Fireworks-AI-Embedding-150M-To-350M: Enhancing Your AI Capabilities

Fireworks AI is proud to announce the release of its latest large language models, Fireworks AI-Embedding-Models/Fireworks-AI-Embedding-150M-To-350M. Designed to provide advanced embedding capabilities, these models are perfect for a variety of applications, including similarity comparisons and search.

Pricing

The cost structure for utilizing these models is straightforward:

  • Input Price: $0.016 per 1M tokens
  • Output Price: $0
  • Max Tokens: Refer to specific model documentation

Available Models

Fireworks AI supports a range of state-of-the-art embedding models:

  • nomic-ai/nomic-embed-text-v1.5
  • mixedbread-ai/mxbai-embed-large-v1
  • BAAI/bge-base-en-v1.5
  • WhereIsAI/UAE-Large-V1
  • thenlper/gte-large and thenlper/gte-base

How to Use Fireworks AI Embedding Models

To leverage these embedding models, follow these steps:

  1. Create a Fireworks account and obtain an API key.
  2. Install the necessary integration package, such as langchain-fireworks if using with LangChain.
  3. Use the API to generate embeddings.

Example Integration

Here is a simple example of generating embeddings using the nomic-ai/nomic-embed-text-v1.5 model:

import openai
client = openai.OpenAI(
  base_url="https://api.fireworks.ai/inference/v1",
  api_key="<FIREWORKS_API_KEY>"
)
response = client.embeddings.create(
  model="nomic-ai/nomic-embed-text-v1.5",
  input="search_document: your_text_here"
)

Get Started Today

With Fireworks AI-Embedding-Models/Fireworks-AI-Embedding-150M-To-350M, you can enhance your applications with cutting-edge AI capabilities. Sign up for a Fireworks account today and start exploring the possibilities.

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