LlamaIndex Embeddings Integration: Fireworks
This integration provides support for Fireworks AI embedding models with LlamaIndex.
Fireworks AI offers fast and efficient inference for embedding models. Sign up at fireworks.ai to get an API key.
Installation
pip install llama-index-embeddings-fireworks
Usage
from llama_index.embeddings.fireworks import FireworksEmbedding
# Initialize the embedding model
embed_model = FireworksEmbedding(
api_key="your-api-key", # or set FIREWORKS_API_KEY env var
model_name="nomic-ai/nomic-embed-text-v1.5",
)
# Get embedding for a single text
embedding = embed_model.get_text_embedding("Hello, world!")
# Get embeddings for multiple texts
embeddings = embed_model.get_text_embedding_batch(
["Hello, world!", "How are you?"]
)
# Get query embedding
query_embedding = embed_model.get_query_embedding("What is machine learning?")
Configuration
| Parameter | Description | Default |
|---|---|---|
api_key |
Fireworks API key (or set FIREWORKS_API_KEY env var) |
None |
model_name |
Embedding model to use | nomic-ai/nomic-embed-text-v1.5 |
dimensions |
Output embedding dimensions (if supported by model) | None |
embed_batch_size |
Batch size for embedding requests | 10 |
timeout |
Request timeout in seconds | 60.0 |
max_retries |
Maximum number of retries | 10 |
Environment Variables
FIREWORKS_API_KEY: Your Fireworks API keyFIREWORKS_API_BASE: Custom API base URL (optional)
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