Embeddings
Together Embedder
Embeddings
Together Embedder
The TogetherEmbedder can be used to embed text data into vectors using the Together API. Together uses the OpenAI API specification, so the TogetherEmbedder class is similar to the OpenAIEmbedder class, incorporating adjustments to ensure compatibility with the Together platform.
Usage
from phi.agent import Agent, AgentKnowledge
from phi.vectordb.pgvector import PgVector
from phi.embedder.together import TogetherEmbedder
# Create knowledge base
knowledge_base=AgentKnowledge(
vector_db=PgVector(
db_url=db_url,
table_name=embeddings_table,
embedder=TogetherEmbedder(),
),
# 2 references are added to the prompt
num_documents=2,
),
# Add information to the knowledge base
knowledge_base.load_text("The sky is blue")
# Add the knowledge base to the Agent
agent = Agent(knowledge_base=knowledge_base)
Params
| Parameter | Type | Default | Description |
|---|---|---|---|
model | str | "nomic-ai/nomic-embed-text-v1.5" | The name of the model used for generating embeddings. |
dimensions | int | 768 | The dimensionality of the embeddings generated by the model. |
api_key | str | The API key used for authenticating requests. | |
base_url | str | "https://api.Together.ai/inference/v1" | The base URL for the API endpoint. |