Pinecone

pip install "upsonic[rag]"

from upsonic import Agent, Task, KnowledgeBase
from upsonic.embeddings.openai_provider import OpenAIEmbeddingProvider
from upsonic.vectordb import PineconeProvider, PineconeConfig
from pydantic import SecretStr

# Setup embedding provider
embedding = OpenAIEmbeddingProvider(api_key="your-api-key")

# Create Pinecone configuration
config = PineconeConfig(
    collection_name="my_collection",
    vector_size=1536,
    api_key=SecretStr("your-pinecone-api-key"),
    environment="us-east-1-aws",
    namespace="production"
)
vectordb = PineconeProvider(config)

# Create knowledge base
kb = KnowledgeBase(
    sources="document.pdf",
    embedding_provider=embedding,
    vectordb=vectordb
)

# Use with Agent
agent = Agent("openai/gpt-4o")
task = Task(
    description="Query the knowledge base",
    context=[kb]
)
result = agent.do(task)