Vector Search Patterns

Implement semantic similarity search for retrieval-augmented generation and intelligent querying.

Embedding Pipeline

Generating Embeddings

import httpx

async def get_embeddings(texts: list[str], model: str = "text-embedding-3-small") -> list[list[float]]:
    async with httpx.AsyncClient() as client:
        response = await client.post(
            "https://api.openai.com/v1/embeddings",
            headers={"Authorization": f"Bearer {api_key}"},
            json={"input": texts, "model": model},
        )
        data = response.json()