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Introduction to VectorWave

VectorWave is a seamless auto-vectorization framework for Python that transforms how you build AI applications.

What is VectorWave?​

VectorWave allows you to automatically enable Vector DB storage, semantic caching, and distributed tracing with just a single decorator on your Python functions.

from vectorwave import vectorize

@vectorize(collection="documents", cache=True, trace=True)
def process_document(text: str) -> dict:
    return {"content": text, "processed": True}

That's it. Your function is now:

  • ✅ Automatically storing vectors in your preferred Vector DB
  • ✅ Using semantic caching to avoid redundant computations
  • ✅ Fully observable with distributed tracing

Why VectorWave?​

🚀 Developer Experience First​

No boilerplate. No complex setup. Just add a decorator and ship.

🧠 Intelligent Defaults​

Smart configuration that works out of the box, with full customization when you need it.

🔌 Ecosystem Ready​

Works with Pinecone, Weaviate, Qdrant, Milvus, Chroma, and more.

Quick Start​

pip install vectorwave

Ready to dive in? Check out our Getting Started Guide.