FireworksEmbeddings#

class langchain_fireworks.embeddings.FireworksEmbeddings[source]#

Bases: BaseModel, Embeddings

FireworksEmbeddings embedding model.

Example

from langchain_fireworks import FireworksEmbeddings

model = FireworksEmbeddings(
    model='nomic-ai/nomic-embed-text-v1.5'
)

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

param fireworks_api_key: SecretStr = SecretStr('')#
Constraints:

  • type = string

  • writeOnly = True

  • format = password

param model: str = 'nomic-ai/nomic-embed-text-v1.5'#
async aembed_documents(texts: List[str]) → List[List[float]]#

Asynchronous Embed search docs.

Parameters:

texts (List[str]) – List of text to embed.

Returns:

List of embeddings.

Return type:

List[List[float]]

async aembed_query(text: str) → List[float]#

Asynchronous Embed query text.

Parameters:

text (str) – Text to embed.

Returns:

Embedding.

Return type:

List[float]

embed_documents(texts: List[str]) → List[List[float]][source]#

Embed search docs.

Parameters:

texts (List[str])

Return type:

List[List[float]]

embed_query(text: str) → List[float][source]#

Embed query text.

Parameters:

text (str)

Return type:

List[float]

Examples using FireworksEmbeddings#